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ORCIDSwagatam Das
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- affiliation: Indian Statistical Institute, Kolkata, India
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2020 – today
- 2025
[j174]Abhishek Kumar, Oladayo S. Ajani
, Swagatam Das, Rammohan Mallipeddi:
Entropy-weighted medoid shift: An automated clustering algorithm for high-dimensional data. Appl. Soft Comput. 169: 112347 (2025)- [j173]Václav Snásel, Lingping Kong, Swagatam Das:
From constraints fusion to manifold optimization: A new directional transport manifold metaheuristic algorithm. Inf. Fusion 113: 102596 (2025) - 2024
- [j172]Susmita Ghosh, Swagatam Das:
Multi-scale morphology-aided deep medical image segmentation. Eng. Appl. Artif. Intell. 137: 109047 (2024) - [j171]Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan, Ponnuthurai Nagaratnam Suganthan, Yue Zhang, Witold Pedrycz, Swagatam Das, Rammohan Mallipeddi, Oladayo Solomon Ajani, Qiang Feng:
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities. Swarm Evol. Comput. 86: 101517 (2024) - [j170]Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi:
An Efficient Differential Grouping Algorithm for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. 28(1): 32-46 (2024) - [j169]Debolina Paul, Saptarshi Chakraborty, Swagatam Das:
Robust Principal Component Analysis: A Median of Means Approach. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16788-16800 (2024) - [c206]Subhajit Saha, Md. Sahidullah, Swagatam Das:
Exploring Green AI for Audio Deepfake Detection. EUSIPCO 2024: 186-190 - [c205]Debanjan Dutta, Anish Chakrabarty, Swagatam Das:
Lost in Translation: GANs' Inability to Generate Simple Probability Distributions. Tiny Papers @ ICLR 2024 - [c204]Indranil Ojha, Kushal Bose, Swagatam Das:
Affinity-based Homophily: Can we measure homophily of a graph without using node labels? Tiny Papers @ ICLR 2024 - [c203]Debolina Paul, Saptarshi Chakraborty, Swagatam Das:
t-Divergence: A New Divergence Measure with Application to Robust Statistics & Clustering. Tiny Papers @ ICLR 2024 - [c202]Susmita Ghosh, Swagatam Das:
Enhancing Medical Image Analysis with MA-DTNet: A Dual Task Network Guided by Morphological Attention. ICPR (12) 2024: 283-300 - [c201]Arkaprabha Basu, Sourav Raha, Avisek Gupta, Swagatam Das:
Improved Alzheimer's Disease Detection with Dynamic Attention Guided Multi-modal Fusion. ICPR (11) 2024: 432-446 - [c200]Arindam Majee, Avisek Gupta, Sourav Raha, Swagatam Das:
Enhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers. IJCNN 2024: 1-8 - [c199]Faizanuddin Ansari, Agnish Bhattacharya, Biswajit Saha, Swagatam Das:
Mo2E: Mixture of Two Experts for Class-Imbalanced Learning from Medical Images. ISBI 2024: 1-5 - [c198]Faizanuddin Ansari, Tapabrata Chakraborti, Swagatam Das:
Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias. MICCAI (1) 2024: 373-382 - [i37]Subhajit Saha, Md. Sahidullah, Swagatam Das:
Exploring Green AI for Audio Deepfake Detection. CoRR abs/2403.14290 (2024) - [i36]Arindam Majee, Avisek Gupta, Sourav Raha, Swagatam Das:
Enhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers. CoRR abs/2403.16175 (2024) - [i35]Arkaprabha Basu, Kushal Bose, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das:
Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures. CoRR abs/2404.06294 (2024) - [i34]Sagar Ghosh, Swagatam Das:
Consistent Spectral Clustering in Hyperbolic Spaces. CoRR abs/2409.09304 (2024) - [i33]Nikhil Raghav, Subhajit Saha, Md. Sahidullah, Swagatam Das:
TCG CREST System Description for the Second DISPLACE Challenge. CoRR abs/2409.15356 (2024) - [i32]Nikhil Raghav, Avisek Gupta, Md. Sahidullah, Swagatam Das:
Self-Tuning Spectral Clustering for Speaker Diarization. CoRR abs/2410.00023 (2024) - [i31]Sagar Ghosh, Kushal Bose, Swagatam Das:
On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks. CoRR abs/2411.10128 (2024) - 2023
- [j168]Arkaprabha Basu, Sandip Paul, Sreeya Ghosh, Swagatam Das, Bhabatosh Chanda, Chakravarthy Bhagvati, Václav Snásel:
Digital Restoration of Cultural Heritage With Data-Driven Computing: A Survey. IEEE Access 11: 53939-53977 (2023) - [j167]Arjun Ghosh, Nanda Dulal Jana, Swagatam Das, Rammohan Mallipeddi:
Two-Phase Evolutionary Convolutional Neural Network Architecture Search for Medical Image Classification. IEEE Access 11: 115280-115305 (2023) - [j166]Kanchan Rajwar, Kusum Deep, Swagatam Das:
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges. Artif. Intell. Rev. 56(11): 13187-13257 (2023) - [j165]Weiping Ding, Javier Andréu Pérez, Yiu-ming Cheung, Swagatam Das, Xiaodong Yue, Dariusz Mrozek:
Special issue on fuzzy systems for biomedical science in healthcare. Appl. Soft Comput. 132: 109834 (2023) - [j164]Abhishek Kumar, Bablesh Kumar Jha, Swagatam Das, Rammohan Mallipeddi:
Spherical Search based constrained optimization algorithm for power flow analysis of islanded microgrids. Appl. Soft Comput. 136: 110057 (2023) - [j163]Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Q. Xu:
Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5862-5871 (2023) - [j162]Sandipan Dhar, Nanda Dulal Jana, Swagatam Das:
An Adaptive-Learning-Based Generative Adversarial Network for One-to-One Voice Conversion. IEEE Trans. Artif. Intell. 4(1): 92-106 (2023) - [j161]Arkaprabha Basu, Sourav Das, Sankha Subhra Mullick, Swagatam Das:
Do Preprocessing and Class Imbalance Matter to the Deep Image Classifiers for COVID-19 Detection? An Explainable Analysis. IEEE Trans. Artif. Intell. 4(2): 229-241 (2023) - [j160]Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Salvador García, Eric Granger, Jie Yang:
GEN: Generative Equivariant Networks for Diverse Image-to-Image Translation. IEEE Trans. Cybern. 53(2): 874-886 (2023) - [j159]Abhishek Kumar, Swagatam Das, Lingping Kong, Václav Snásel:
Self-Adaptive Spherical Search With a Low-Precision Projection Matrix for Real-World Optimization. IEEE Trans. Cybern. 53(7): 4107-4121 (2023) - [j158]Saptarshi Chakraborty, Debolina Paul, Swagatam Das:
On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical Analyses. IEEE Trans. Cybern. 53(8): 4779-4790 (2023) - [j157]Kushal Bose, Swagatam Das:
Can Graph Neural Networks Go Deeper Without Over-Smoothing? Yes, With a Randomized Path Exploration! IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1595-1604 (2023) - [c197]Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi:
UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering. AAAI 2023: 8386-8395 - [c196]Chandramauli Chakraborty, Sayan Paul, Saptarshi Chakraborty, Swagatam Das:
Clustering High-dimensional Data with Ordered Weighted ℓ1 Regularization. AISTATS 2023: 7176-7189 - [c195]Sandipan Dhar, MD. Tousin Akhter, Padmanabha Banerjee, Nanda Dulal Jana, Swagatam Das:
FID-RPRGAN-VC: Fréchet Inception Distance Loss based Region-wise Position Normalized Relativistic GAN for Non-Parallel Voice Conversion. APSIPA ASC 2023: 350-356 - [c194]Sandipan Dhar, Padmanabha Banerjee, Nanda Dulal Jana, Swagatam Das:
Voice Conversion Using Feature Specific Loss Function Based Self-Attentive Generative Adversarial Network. ICASSP 2023: 1-5 - [c193]Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das:
Interval Bound Interpolation for Few-shot Learning with Few Tasks. ICML 2023: 7141-7166 - [c192]Faizanuddin Ansari, Swagatam Das, Pourya Shamsolmoali:
Handling Class Imbalance by Estimating Minority Class Statistics. IJCNN 2023: 1-8 - [i30]Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan, Ponnuthurai N. Suganthan, Yue Zhang, Witold Pedrycz, Yingwu Chen, Swagatam Das, Rammohan Mallipeddi, Oladayo Solomon Ajani:
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities. CoRR abs/2308.13420 (2023) - [i29]Supratik Basu, Jyotishka Ray Choudhury, Debolina Paul, Swagatam Das:
Robust and Automatic Data Clustering: Dirichlet Process meets Median-of-Means. CoRR abs/2311.15384 (2023) - [i28]Kushal Bose, Swagatam Das:
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings. CoRR abs/2312.06576 (2023) - [i27]Anish Chakrabarty, Arkaprabha Basu, Swagatam Das:
Concurrent Density Estimation with Wasserstein Autoencoders: Some Statistical Insights. CoRR abs/2312.06591 (2023) - 2022
- [j156]Quoc Bao Diep, Thanh Cong Truong, Swagatam Das, Ivan Zelinka:
Self-Organizing Migrating Algorithm with narrowing search space strategy for robot path planning. Appl. Soft Comput. 116: 108270 (2022) - [j155]Ivan Zelinka, Quoc Bao Diep, Václav Snásel, Swagatam Das, Giacomo Innocenti, Alberto Tesi, Fabio Schoen, Nikolay V. Kuznetsov:
Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms: An experimental analysis. Inf. Sci. 587: 692-719 (2022) - [j154]Avisek Gupta, Swagatam Das:
On efficient model selection for sparse hard and fuzzy center-based clustering algorithms. Inf. Sci. 590: 29-44 (2022) - [j153]Abhishek Kumar, Swagatam Das, Václav Snásel:
Improved spherical search with local distribution induced self-adaptation for hard non-convex optimization with and without constraints. Inf. Sci. 615: 604-637 (2022) - [j152]Ivan Zelinka, Swagatam Das:
Gamesourcing: an unconventional tool to assist the solution of the traveling salesman problem. Nat. Comput. 21(2): 347-357 (2022) - [j151]Saptarshi Chakraborty, Swagatam Das:
Detecting Meaningful Clusters From High-Dimensional Data: A Strongly Consistent Sparse Center-Based Clustering Approach. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2894-2908 (2022) - [j150]Arka Ghosh, Sankha Subhra Mullick, Shounak Datta, Swagatam Das, Asit Kumar Das, Rammohan Mallipeddi:
A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers. Pattern Recognit. 122: 108279 (2022) - [j149]Souhardya Sengupta, Swagatam Das:
Selective Nearest Neighbors Clustering. Pattern Recognit. Lett. 155: 178-185 (2022) - [j148]Arka Ghosh, Swagatam Das, Asit Kumar Das, Roman Senkerik, Adam Viktorin, Ivan Zelinka, Antonio David Masegosa:
Using spatial neighborhoods for parameter adaptation: An improved success history based differential evolution. Swarm Evol. Comput. 71: 101057 (2022) - [j147]Swagatam Das, Sankha Subhra Mullick, Ivan Zelinka:
On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges. IEEE Trans. Artif. Intell. 3(6): 973-993 (2022) - [j146]Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi:
A Reference Vector-Based Simplified Covariance Matrix Adaptation Evolution Strategy for Constrained Global Optimization. IEEE Trans. Cybern. 52(5): 3696-3709 (2022) - [j145]Abhishek Kumar, Swagatam Das, Abhishek Kumar Misra, Devender Singh:
A υ-Constrained Matrix Adaptation Evolution Strategy With Broyden-Based Mutation for Constrained Optimization. IEEE Trans. Cybern. 52(6): 4784-4796 (2022) - [j144]Avisek Gupta, Swagatam Das:
Transfer Clustering Using a Multiple Kernel Metric Learned Under Multi-Instance Weak Supervision. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 828-838 (2022) - [j143]Surbhi Gupta, Gaurav Singal, Deepak Garg, Swagatam Das:
RSAC: A Robust Deep Reinforcement Learning Strategy for Dimensionality Perturbation. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1157-1166 (2022) - [c191]Lingping Kong, Abhishek Kumar, Václav Snásel, Swagatam Das, Pavel Krömer, Varun Ojha:
CSS-A Cheap-Surrogate-Based Selection Operator for Multi-objective Optimization. BIOMA 2022: 54-68 - [c190]Abhishek Kumar, Oladayo S. Ajani, Swagatam Das, Rammohan Mallipeddi:
GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking. CVPR 2022: 8121-8129 - [c189]Omatharv Bharat Vaidya, Rithvik Terence DSouza, Soma S. Dhavala, Snehanshu Saha, Swagatam Das:
HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer. ICONIP (1) 2022: 212-223 - [c188]Anish Chakrabarty, Swagatam Das:
On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks. NeurIPS 2022 - [i26]Saptarshi Chakraborty, Debolina Paul, Swagatam Das:
Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification. CoRR abs/2201.01973 (2022) - [i25]Shounak Datta, Sankha Subhra Mullick, Swagatam Das:
Interval Bound Propagation-aided Few-shot Learning. CoRR abs/2204.03511 (2022) - [i24]Abhishek Kumar, Oladayo S. Ajani, Swagatam Das, Rammohan Mallipeddi:
GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking. CoRR abs/2206.02200 (2022) - [i23]Omatharv Bharat Vaidya, Rithvik Terence DSouza, Snehanshu Saha, Soma S. Dhavala, Swagatam Das:
Hamiltonian Monte Carlo Particle Swarm Optimizer. CoRR abs/2206.14134 (2022) - [i22]Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador García:
Wasserstein Embedding for Capsule Learning. CoRR abs/2209.00232 (2022) - 2021
- [j142]Abhishek Kumar, Bablesh Kumar Jha, Swagatam Das, Rammohan Mallipeddi:
Power Flow Analysis of Islanded Microgrids: A Differential Evolution Approach. IEEE Access 9: 61721-61738 (2021) - [j141]Susmita Ghosh, Swagatam Das, Rammohan Mallipeddi:
A Deep Learning Framework Integrating the Spectral and Spatial Features for Image-Assisted Medical Diagnostics. IEEE Access 9: 163686-163696 (2021) - [j140]A. Hanif Halim, Idris Ismail, Swagatam Das:
Performance assessment of the metaheuristic optimization algorithms: an exhaustive review. Artif. Intell. Rev. 54(3): 2323-2409 (2021) - [j139]Swagatam Das, Salvador García, Isaac Triguero:
Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities. Neurocomputing 419: 259-260 (2021) - [j138]Yi Chen, Aimin Zhou, Swagatam Das:
Utilizing dependence among variables in evolutionary algorithms for mixed-integer programming: A case study on multi-objective constrained portfolio optimization. Swarm Evol. Comput. 66: 100928 (2021) - [j137]Abhishek Kumar, Guohua Wu, Mostafa Z. Ali, Qizhang Luo, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results. Swarm Evol. Comput. 67: 100961 (2021) - [j136]Avisek Gupta, Shounak Datta, Swagatam Das:
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multiobjective Optimization Approach. IEEE Trans. Cybern. 51(5): 2601-2611 (2021) - [j135]Abhishek Kumar, Swagatam Das, Rammohan Mallipeddi:
An Inversion-Free Robust Power-Flow Algorithm for Microgrids. IEEE Trans. Smart Grid 12(4): 2844-2859 (2021) - [c187]Saptarshi Chakraborty, Debolina Paul, Swagatam Das:
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm. AAAI 2021: 6930-6938 - [c186]Subhodip Biswas, Debanjan Saha, Shuvodeep De, Adam D. Cobb, Swagatam Das, Brian Jalaian:
Improving Differential Evolution through Bayesian Hyperparameter Optimization. CEC 2021: 832-840 - [c185]Jyotirmoy Sarkar, Santonu Sarkar, Snehanshu Saha, Swagatam Das:
d-BTAI: The Dynamic-Binary Tree Based Anomaly Identification Algorithm for Industrial Systems. IEA/AIE (2) 2021: 519-532 - [c184]Saptarshi Chakraborty, Debolina Paul, Swagatam Das:
$t$-Entropy: A New Measure of Uncertainty with Some Applications. ISIT 2021: 1475-1480 - [c183]Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Q. Xu:
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering. NeurIPS 2021: 8307-8319 - [c182]Anish Chakrabarty, Swagatam Das:
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency. NeurIPS 2021: 17098-17110 - [i21]Debolina Paul, Saptarshi Chakraborty, Swagatam Das:
Robust Principal Component Analysis: A Median of Means Approach. CoRR abs/2102.03403 (2021) - [i20]Sandipan Dhar, Nanda Dulal Jana, Swagatam Das:
An Adaptive Learning based Generative Adversarial Network for One-To-One Voice Conversion. CoRR abs/2104.12159 (2021) - [i19]Saptarshi Chakraborty, Debolina Paul, Swagatam Das:
t-Entropy: A New Measure of Uncertainty with Some Applications. CoRR abs/2105.00316 (2021) - [i18]Anish Chakrabarty, Swagatam Das:
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency. CoRR abs/2110.03995 (2021) - [i17]Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Q. Xu:
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering. CoRR abs/2110.14148 (2021) - 2020
- [j134]Lingping Kong, Václav Snásel, Swagatam Das:
D-Matrix: A Novel Ranking Procedure for Prioritizing Data Items. IEEE Access 8: 145843-145861 (2020) - [j133]Ashraf Darwish, Aboul Ella Hassanien, Swagatam Das:
A survey of swarm and evolutionary computing approaches for deep learning. Artif. Intell. Rev. 53(3): 1767-1812 (2020) - [j132]Alenrex Maity, Swagatam Das:
Efficient hybrid local search heuristics for solving the travelling thief problem. Appl. Soft Comput. 93: 106284 (2020) - [j131]Hari Mohan Pandey, Nik Bessis, Swagatam Das, David Windridge, Ankit Chaudhary:
Editorial to special issue on hybrid artificial intelligence and machine learning technologies in intelligent systems. Neural Comput. Appl. 32(12): 7743-7745 (2020) - [j130]Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane, Swagatam Das:
Appropriateness of performance indices for imbalanced data classification: An analysis. Pattern Recognit. 102: 107197 (2020) - [j129]Arka Ghosh, Swagatam Das, Asit Kumar Das:
A simple two-phase differential evolution for improved global numerical optimization. Soft Comput. 24(8): 6151-6167 (2020) - [j128]Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam Das, Francisco Herrera:
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review. Swarm Evol. Comput. 54: 100665 (2020) - [j127]Abhishek Kumar, Guohua Wu, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
A test-suite of non-convex constrained optimization problems from the real-world and some baseline results. Swarm Evol. Comput. 56: 100693 (2020) - [j126]Arka Ghosh, Swagatam Das, Asit Kumar Das, Liang Gao:
Reusing the Past Difference Vectors in Differential Evolution - A Simple But Significant Improvement. IEEE Trans. Cybern. 50(11): 4821-4834 (2020) - [j125]Shounak Datta, Sayak Nag, Swagatam Das:
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning. IEEE Trans. Knowl. Data Eng. 32(5): 883-897 (2020) - [c181]Saptarshi Chakraborty, Debolina Paul, Swagatam Das, Jason Q. Xu:
Entropy Weighted Power k-Means Clustering. AISTATS 2020: 691-701 - [c180]Abhishek Kumar, Swagatam Das, Ivan Zelinka:
A modified covariance matrix adaptation evolution strategy for real-world constrained optimization problems. GECCO Companion 2020: 11-12 - [c179]Abhishek Kumar, Swagatam Das, Ivan Zelinka:
A self-adaptive spherical search algorithm for real-world constrained optimization problems. GECCO Companion 2020: 13-14 - [c178]Sayak Dey, Swagatam Das, Rammohan Mallipeddi:
The Sparse MinMax k-Means Algorithm for High-Dimensional Clustering. IJCAI 2020: 2103-2110 - [c177]Arijit Nandi, Nanda Dulal Jana, Swagatam Das:
Improving the Performance of Neural Networks with an Ensemble of Activation Functions. IJCNN 2020: 1-7 - [e16]Ales Zamuda, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Bijaya Ketan Panigrahi:
Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing - 7th International Conference, SEMCCO 2019, and 5th International Conference, FANCCO 2019, Maribor, Slovenia, July 10-12, 2019, Revised Selected Papers. Communications in Computer and Information Science 1092, Springer 2020, ISBN 978-3-030-37837-0 [contents] - [i16]Saptarshi Chakraborty, Debolina Paul, Swagatam Das, Jason Q. Xu:
Entropy Regularized Power k-Means Clustering. CoRR abs/2001.03452 (2020) - [i15]Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam Das, Francisco Herrera:
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review. CoRR abs/2002.09227 (2020) - [i14]Arka Ghosh, Sankha Subhra Mullick, Shounak Datta, Swagatam Das, Rammohan Mallipeddi, Asit Kumar Das:
One Sparse Perturbation to Fool them All, almost Always! CoRR abs/2004.13002 (2020) - [i13]Sankha Subhra Mullick, Shounak Datta, Sourish Gunesh Dhekane, Swagatam Das:
Appropriateness of Performance Indices for Imbalanced Data Classification: An Analysis. CoRR abs/2008.11752 (2020) - [i12]Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Q. Xu:
Kernel k-Means, By All Means: Algorithms and Strong Consistency. CoRR abs/2011.06461 (2020) - [i11]Saptarshi Chakraborty, Debolina Paul, Swagatam Das:
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm. CoRR abs/2012.10929 (2020)
2010 – 2019
- 2019
- [j124]Akash Saxena, Rajesh Kumar, Swagatam Das:
β-Chaotic map enabled Grey Wolf Optimizer. Appl. Soft Comput. 75: 84-105 (2019) - [j123]Abhishek Kumar, Rakesh Kumar Misra, Devender Singh, Sujeet Mishra, Swagatam Das:
The spherical search algorithm for bound-constrained global optimization problems. Appl. Soft Comput. 85 (2019) - [j122]Deepayan Sanyal, Swagatam Das:
On semi-supervised active clustering of stable instances with oracles. Inf. Process. Lett. 151 (2019) - [j121]Kunkun Peng, Quan-Ke Pan, Liang Gao, Xinyu Li, Swagatam Das, Biao Zhang:
A multi-start variable neighbourhood descent algorithm for hybrid flowshop rescheduling. Swarm Evol. Comput. 45: 92-112 (2019) - [j120]Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
Bio-inspired computation: Where we stand and what's next. Swarm Evol. Comput. 48: 220-250 (2019) - [j119]Arkajyoti Saha, Swagatam Das:
Stronger Convergence Results for the Center-Based Fuzzy Clustering With Convex Divergence Measure. IEEE Trans. Cybern. 49(12): 4229-4242 (2019) - [j118]Imon Banerjee, Sankha Subhra Mullick, Swagatam Das:
On Convergence of the Class Membership Estimator in Fuzzy $k$-Nearest Neighbor Classifier. IEEE Trans. Fuzzy Syst. 27(6): 1226-1236 (2019) - [j117]Shounak Datta, Swagatam Das:
Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1602-1608 (2019) - [c176]Abhishek Kumar, Rakesh Kumar Misra, Devender Singh, Swagatam Das:
Testing A Multi-Operator based Differential Evolution Algorithm on the 100-Digit Challenge for Single Objective Numerical Optimization. CEC 2019: 34-40 - [c175]Ranjan Jana, Siddhartha Bhattacharyya, Swagatam Das:
Patient-Specific Seizure Prediction Using the Convolutional Neural Networks. DoSIER 2019: 51-60 - [c174]Quoc Bao Diep, Ivan Zelinka, Swagatam Das:
Self-organizing migrating algorithm for the 100-digit challenge. GECCO (Companion) 2019: 3-4 - [c173]Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Ivan Zelinka:
On the non-convergence of differential evolution: some generalized adversarial conditions and a remedy. GECCO (Companion) 2019: 265-266 - [c172]Sankha Subhra Mullick, Shounak Datta, Swagatam Das:
Generative Adversarial Minority Oversampling. ICCV 2019: 1695-1704 - [c171]Quoc Bao Diep, Ivan Zelinka, Swagatam Das, Roman Senkerik:
SOMA T3A for Solving the 100-Digit Challenge. SEMCCO/FANCCO 2019: 155-165 - [c170]Ranjan Jana, Siddhartha Bhattacharyya, Swagatam Das:
Epileptic Seizure Prediction from EEG Signals Using DenseNet. SSCI 2019: 604-609 - [i10]Sankha Subhra Mullick, Shounak Datta, Swagatam Das:
Generative Adversarial Minority Oversampling. CoRR abs/1903.09730 (2019) - [i9]Saptarshi Chakraborty, Swagatam Das:
A Strongly Consistent Sparse k-means Clustering with Direct l1 Penalization on Variable Weights. CoRR abs/1903.10039 (2019) - [i8]Yi Chen, Aimin Zhou, Swagatam Das:
A Compressed Coding Scheme for Evolutionary Algorithms in Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization. CoRR abs/1909.08748 (2019) - 2018
- [j116]Arkajyoti Saha, Swagatam Das:
Clustering of fuzzy data and simultaneous feature selection: A model selection approach. Fuzzy Sets Syst. 340: 1-37 (2018) - [j115]Arkajyoti Saha, Swagatam Das:
On the unification of possibilistic fuzzy clustering: Axiomatic development and convergence analysis. Fuzzy Sets Syst. 340: 73-90 (2018) - [j114]Shounak Datta, Supritam Bhattacharjee, Swagatam Das:
Clustering with missing features: a penalized dissimilarity measure based approach. Mach. Learn. 107(12): 1987-2025 (2018) - [j113]Swagatam Das, Shounak Datta, Bidyut B. Chaudhuri:
Handling data irregularities in classification: Foundations, trends, and future challenges. Pattern Recognit. 81: 674-693 (2018) - [j112]Nimagna Biswas, Saurajit Chakraborty, Sankha Subhra Mullick, Swagatam Das:
A parameter independent fuzzy weighted k-Nearest neighbor classifier. Pattern Recognit. Lett. 101: 80-87 (2018) - [j111]Avisek Gupta, Shounak Datta, Swagatam Das:
Fast automatic estimation of the number of clusters from the minimum inter-center distance for k-means clustering. Pattern Recognit. Lett. 116: 72-79 (2018) - [j110]Nanda Dulal Jana, Jaya Sil, Swagatam Das:
Continuous fitness landscape analysis using a chaos-based random walk algorithm. Soft Comput. 22(3): 921-948 (2018) - [j109]Hathiram Nenavath, Ravi Kumar Jatoth, Swagatam Das:
A synergy of the sine-cosine algorithm and particle swarm optimizer for improved global optimization and object tracking. Swarm Evol. Comput. 43: 1-30 (2018) - [j108]Arup Kumar Sadhu, Amit Konar, Tanuka Bhattacharjee, Swagatam Das:
Synergism of Firefly Algorithm and Q-Learning for Robot Arm Path Planning. Swarm Evol. Comput. 43: 50-68 (2018) - [j107]Ivan Zelinka, Swagatam Das, Lubomir Sikora, Roman Senkerik:
Swarm virus - Next-generation virus and antivirus paradigm? Swarm Evol. Comput. 43: 207-224 (2018) - [j106]Sankha Subhra Mullick, Shounak Datta, Swagatam Das:
Adaptive Learning-Based $k$ -Nearest Neighbor Classifiers With Resilience to Class Imbalance. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5713-5725 (2018) - [c169]Arka Ghosh, Rammohan Mallipeddi, Swagatam Das, Asit Kumar Das:
A Switched Parameter Differential Evolution with Multi-donor Mutation and Annealing Based Local Search for Optimization of Lennard-Jones Atomic Clusters. CEC 2018: 1-8 - [e15]Sabu M. Thampi, Sri Krishnan, Juan Manuel Corchado Rodríguez, Swagatam Das, Michal Wozniak, Dhiya Al-Jumeily:
Advances in Signal Processing and Intelligent Recognition Systems - Proceedings of Third International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2017), September 13-16, 2017, Manipal, India. Advances in Intelligent Systems and Computing 678, Springer 2018, ISBN 978-3-319-67933-4 [contents] - [i7]Avisek Gupta, Shounak Datta, Swagatam Das:
Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach. CoRR abs/1808.03327 (2018) - 2017
- [j105]Arka Ghosh, Swagatam Das, Rammohan Mallipeddi, Asit Kumar Das, Subhransu Sekhar Dash:
A Modified Differential Evolution With Distance-based Selection for Continuous Optimization in Presence of Noise. IEEE Access 5: 26944-26964 (2017) - [j104]Soham Sarkar, Swagatam Das, Sheli Sinha Chaudhuri:
Multi-level thresholding with a decomposition-based multi-objective evolutionary algorithm for segmenting natural and medical images. Appl. Soft Comput. 50: 142-157 (2017) - [j103]Arka Ghosh, Swagatam Das, Sankha Subhra Mullick, Rammohan Mallipeddi, Asit Kumar Das:
A switched parameter differential evolution with optional blending crossover for scalable numerical optimization. Appl. Soft Comput. 57: 329-352 (2017) - [j102]Shounak Datta, Abhiroop Ghosh, Krishnendu Sanyal, Swagatam Das:
A Radial Boundary Intersection aided interior point method for multi-objective optimization. Inf. Sci. 377: 1-16 (2017) - [j101]Nanda Dulal Jana, Jaya Sil, Swagatam Das:
Selection of appropriate metaheuristic algorithms for protein structure prediction in AB off-lattice model: a perspective from fitness landscape analysis. Inf. Sci. 391: 28-64 (2017) - [j100]Arkajyoti Saha, Swagatam Das:
Axiomatic generalization of the membership degree weighting function for fuzzy C means clustering: Theoretical development and convergence analysis. Inf. Sci. 408: 129-145 (2017) - [j99]Arkajyoti Saha, Swagatam Das:
Feature-weighted clustering with inner product induced norm based dissimilarity measures: an optimization perspective. Mach. Learn. 106(7): 951-992 (2017) - [j98]Ayan Das, Swagatam Das:
Feature weighting and selection with a Pareto-optimal trade-off between relevancy and redundancy. Pattern Recognit. Lett. 88: 12-19 (2017) - [j97]Shounak Datta, Sankha Subhra Mullick, Swagatam Das:
Generalized mean based back-propagation of errors for ambiguity resolution. Pattern Recognit. Lett. 94: 22-29 (2017) - [j96]Saptarshi Chakraborty, Swagatam Das:
k-Means clustering with a new divergence-based distance metric: Convergence and performance analysis. Pattern Recognit. Lett. 100: 67-73 (2017) - [j95]Ritambhar Burman, Soumyadeep Chakrabarti, Swagatam Das:
Democracy-inspired particle swarm optimizer with the concept of peer groups. Soft Comput. 21(12): 3267-3286 (2017) - [j94]Anguluri Rajasekhar, Nandar Lynn, Swagatam Das, Ponnuthurai N. Suganthan:
Computing with the collective intelligence of honey bees - A survey. Swarm Evol. Comput. 32: 25-48 (2017) - [j93]Pratyusha Rakshit, Amit Konar, Swagatam Das:
Noisy evolutionary optimization algorithms - A comprehensive survey. Swarm Evol. Comput. 33: 18-45 (2017) - [j92]Avinash Sharma, Rajesh Kumar, Bijaya K. Panigrahi, Swagatam Das:
Termite spatial correlation based particle swarm optimization for unconstrained optimization. Swarm Evol. Comput. 33: 93-107 (2017) - [c168]Arka Ghosh, Swagatam Das, Bijaya Ketan Panigrahi, Asit Kumar Das:
A noise resilient Differential Evolution with improved parameter and strategy control. CEC 2017: 2590-2597 - [c167]Nanda Dulal Jana, Jaya Sil, Swagatam Das:
Protein Structure Optimization in 3D AB off-lattice model using Biogeography Based Optimization with Chaotic Mutation. CODS 2017: 6:1-6:7 - [c166]Avisek Gupta, Swagatam Das:
On the Unification of k-Harmonic Means and Fuzzy c-Means Clustering Problems under Kernelization. ICAPR 2017: 1-6 - [c165]Nanda Dulal Jana, Jaya Sil, Swagatam Das:
An Improved Harmony Search Algorithm for Protein Structure Prediction Using 3D Off-Lattice Model. ICHSA 2017: 304-314 - [c164]Aditya Panda, Rammohan Mallipeddi, Swagatam Das:
Particle swarm optimization with a modified learning strategy and blending crossover. SSCI 2017: 1-8 - [i6]Shounak Datta, Sayak Nag, Swagatam Das:
On Boosting, Tug of War, and Lexicographic Programming. CoRR abs/1708.09684 (2017) - [i5]Shounak Datta, Sayak Nag, Sankha Subhra Mullick, Swagatam Das:
Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts. CoRR abs/1712.08493 (2017) - 2016
- [j91]Rohan Mukherjee, Shantanab Debchoudhury, Swagatam Das:
Modified Differential Evolution with Locality induced Genetic Operators for dynamic optimization. Eur. J. Oper. Res. 253(2): 337-355 (2016) - [j90]Soham Sarkar, Swagatam Das, Sheli Sinha Chaudhuri:
Hyper-spectral image segmentation using Rényi entropy based multi-level thresholding aided with differential evolution. Expert Syst. Appl. 50: 120-129 (2016) - [j89]Pradipta Kumar Das, Himansu Sekhar Behera, Swagatam Das, Hrudaya Kumar Tripathy, Bijaya K. Panigrahi, S. K. Pradhan:
A hybrid improved PSO-DV algorithm for multi-robot path planning in a clutter environment. Neurocomputing 207: 735-753 (2016) - [j88]Deep Kiran, Bijaya K. Panigrahi, Swagatam Das, Nitesh Kumar:
Linkage based deferred acceptance optimization. Inf. Sci. 349-350: 65-76 (2016) - [j87]Arkajyoti Saha, Swagatam Das:
Optimizing cluster structures with inner product induced norm based dissimilarity measures: Theoretical development and convergence analysis. Inf. Sci. 372: 796-814 (2016) - [j86]Arkajyoti Saha, Swagatam Das:
Geometric divergence based fuzzy clustering with strong resilience to noise features. Pattern Recognit. Lett. 79: 60-67 (2016) - [j85]Shounak Datta, Debaleena Misra, Swagatam Das:
A feature weighted penalty based dissimilarity measure for k-nearest neighbor classification with missing features. Pattern Recognit. Lett. 80: 231-237 (2016) - [j84]Swagatam Das, Sankha Subhra Mullick, Ponnuthurai N. Suganthan:
Recent advances in differential evolution - An updated survey. Swarm Evol. Comput. 27: 1-30 (2016) - [j83]Chiranjib Saha, Swagatam Das, Kunal Pal, Satrajit Mukherjee:
A Fuzzy Rule-Based Penalty Function Approach for Constrained Evolutionary Optimization. IEEE Trans. Cybern. 46(12): 2953-2965 (2016) - [e14]Swagatam Das, Tandra Pal, Samarjit Kar, Suresh Chandra Satapathy, Jyotsna Kumar Mandal:
Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications, FICTA 2015, Durgapur, India, 16-18 November 2015. Advances in Intelligent Systems and Computing 404, Springer 2016, ISBN 978-81-322-2693-2 [contents] - [e13]Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy:
Swarm, Evolutionary, and Memetic Computing - 6th International Conference, SEMCCO 2015, Hyderabad, India, December 18-19, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9873, Springer 2016, ISBN 978-3-319-48958-2 [contents] - [i4]Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das:
Kernelized Weighted SUSAN based Fuzzy C-Means Clustering for Noisy Image Segmentation. CoRR abs/1603.08564 (2016) - [i3]Shounak Datta, Supritam Bhattacharjee, Swagatam Das:
Clustering with Missing Features: A Penalized Dissimilarity Measure based approach. CoRR abs/1604.06602 (2016) - 2015
- [j82]Preetam Dasgupta, Swagatam Das:
A Discrete Inter-Species Cuckoo Search for flowshop scheduling problems. Comput. Oper. Res. 60: 111-120 (2015) - [j81]Arkajyoti Saha, Swagatam Das:
Categorical fuzzy k-modes clustering with automated feature weight learning. Neurocomputing 166: 422-435 (2015) - [j80]Shubhajeet Chatterjee, Swagatam Das:
Ant colony optimization based enhanced dynamic source routing algorithm for mobile Ad-hoc network. Inf. Sci. 295: 67-90 (2015) - [j79]Shounak Datta, Swagatam Das:
Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs. Neural Networks 70: 39-52 (2015) - [j78]Soham Sarkar, Swagatam Das, Sheli Sinha Chaudhuri:
A multilevel color image thresholding scheme based on minimum cross entropy and differential evolution. Pattern Recognit. Lett. 54: 27-35 (2015) - [j77]Arkajyoti Saha, Swagatam Das:
Automated feature weighting in clustering with separable distances and inner product induced norms - A theoretical generalization. Pattern Recognit. Lett. 63: 50-58 (2015) - [j76]Sujoy Paul, Swagatam Das:
Simultaneous feature selection and weighting - An evolutionary multi-objective optimization approach. Pattern Recognit. Lett. 65: 51-59 (2015) - [j75]Souvik Kundu, Swagatam Das, Athanasios V. Vasilakos, Subhodip Biswas:
A modified differential evolution-based combined routing and sleep scheduling scheme for lifetime maximization of wireless sensor networks. Soft Comput. 19(3): 637-659 (2015) - [j74]Subhodip Biswas, Souvik Kundu, Swagatam Das:
Inducing Niching Behavior in Differential Evolution Through Local Information Sharing. IEEE Trans. Evol. Comput. 19(2): 246-263 (2015) - [c163]Nanda Dulal Jana, Jaya Sil, Swagatam Das:
Improved Bees Algorithm for Protein Structure Prediction Using AB Off-Lattice Model. MENDEL 2015: 39-52 - [c162]Swagatam Das, Arka Ghosh, Sankha Subhra Mullick:
A Switched Parameter Differential Evolution for Large Scale Global Optimization - Simpler May Be Better. MENDEL 2015: 103-125 - [c161]Sujoy Paul, Shounak Datta, Swagatam Das:
Rough-Fuzzy Collaborative Multi-level Image Thresholding: A Differential Evolution Approach. MENDEL 2015: 329-341 - [e12]Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Swarm, Evolutionary, and Memetic Computing - 5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8947, Springer 2015, ISBN 978-3-319-20293-8 [contents] - [e11]Ying Tan, Yuhui Shi, Fernando Buarque de Lima Neto, Alexander F. Gelbukh, Swagatam Das, Andries P. Engelbrecht:
Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9140, Springer 2015, ISBN 978-3-319-20465-9 [contents] - [e10]Ying Tan, Yuhui Shi, Fernando Buarque de Lima Neto, Alexander F. Gelbukh, Swagatam Das, Andries P. Engelbrecht:
Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9141, Springer 2015, ISBN 978-3-319-20471-0 [contents] - [e9]Ying Tan, Yuhui Shi, Fernando Buarque de Lima Neto, Alexander F. Gelbukh, Swagatam Das, Andries P. Engelbrecht:
Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part III. Lecture Notes in Computer Science 9142, Springer 2015, ISBN 978-3-319-20468-0 [contents] - 2014
- [j73]Subhodip Biswas, Swagatam Das, Shantanab Debchoudhury, Souvik Kundu:
Co-evolving bee colonies by forager migration: A multi-swarm based Artificial Bee Colony algorithm for global search space. Appl. Math. Comput. 232: 216-234 (2014) - [j72]Swagatam Das, Debdipta Goswami, Sarthak Chatterjee, Sudipto Mukherjee:
Stability and chaos analysis of a novel swarm dynamics with applications to multi-agent systems. Eng. Appl. Artif. Intell. 30: 189-198 (2014) - [j71]Miguel A. Medina, Swagatam Das, Carlos A. Coello Coello, Juan M. Ramirez:
Decomposition-based modern metaheuristic algorithms for multi-objective optimal power flow - A comparative study. Eng. Appl. Artif. Intell. 32: 10-20 (2014) - [j70]Rupam Kundu, Swagatam Das, Rohan Mukherjee, Shantanab Debchoudhury:
An improved particle swarm optimizer with difference mean based perturbation. Neurocomputing 129: 315-333 (2014) - [j69]Rohan Mukherjee, Gyana Ranjan Patra, Rupam Kundu, Swagatam Das:
Cluster-based differential evolution with Crowding Archive for niching in dynamic environments. Inf. Sci. 267: 58-82 (2014) - [j68]Sarthak Chatterjee, Debdipta Goswami, Sudipto Mukherjee, Swagatam Das:
Behavioral analysis of the leader particle during stagnation in a particle swarm optimization algorithm. Inf. Sci. 279: 18-36 (2014) - [j67]Manohar Singh, Bijaya K. Panigrahi, Abhijit R. Abhyankar, Swagatam Das:
Optimal coordination of directional over-current relays using informative differential evolution algorithm. J. Comput. Sci. 5(2): 269-276 (2014) - [j66]Subhodip Biswas, Swagatam Das, Souvik Kundu, Gyana Ranjan Patra:
Utilizing time-linkage property in DOPs: An information sharing based Artificial Bee Colony algorithm for tracking multiple optima in uncertain environments. Soft Comput. 18(6): 1199-1212 (2014) - [j65]Swagatam Das, Ankush Mandal, Rohan Mukherjee:
An Adaptive Differential Evolution Algorithm for Global Optimization in Dynamic Environments. IEEE Trans. Cybern. 44(6): 966-978 (2014) - [j64]Subhodip Biswas, Souvik Kundu, Swagatam Das:
An Improved Parent-Centric Mutation With Normalized Neighborhoods for Inducing Niching Behavior in Differential Evolution. IEEE Trans. Cybern. 44(10): 1726-1737 (2014) - [j63]Swagatam Das, Subhodip Biswas, Bijaya K. Panigrahi, Souvik Kundu, Debabrota Basu:
A Spatially Informative Optic Flow Model of Bee Colony With Saccadic Flight Strategy for Global Optimization. IEEE Trans. Cybern. 44(10): 1884-1897 (2014) - [j62]Faruk Ahmed, Swagatam Das:
Removal of High-Density Salt-and-Pepper Noise in Images With an Iterative Adaptive Fuzzy Filter Using Alpha-Trimmed Mean. IEEE Trans. Fuzzy Syst. 22(5): 1352-1358 (2014) - [j61]Pratyusha Rakshit, Amit Konar, Swagatam Das, Lakhmi C. Jain, Atulya K. Nagar:
Uncertainty Management in Differential Evolution Induced Multiobjective Optimization in Presence of Measurement Noise. IEEE Trans. Syst. Man Cybern. Syst. 44(7): 922-937 (2014) - [c160]Nanda Dulal Jana, Jaya Sil, Swagatam Das:
Particle Swarm Optimization with population adaptation. IEEE Congress on Evolutionary Computation 2014: 573-578 - [c159]Subhodip Biswas, Mohammad A. Eita, Swagatam Das, Athanasios V. Vasilakos:
Evaluating the performance of Group Counseling Optimizer on CEC 2014 problems for Computational Expensive Optimization. IEEE Congress on Evolutionary Computation 2014: 1076-1083 - [c158]Ritambhar Burman, Swagatam Das, Zeeshanul Haque, Athanasios V. Vasilakos, Soumyadeep Chakrabarti:
The Monarchy Driven Optimization technique. IEEE Congress on Evolutionary Computation 2014: 3008-3015 - [c157]Subhodip Biswas, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Carlos A. Coello Coello:
Evolutionary multiobjective optimization in dynamic environments: A set of novel benchmark functions. IEEE Congress on Evolutionary Computation 2014: 3192-3199 - [c156]Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das:
A novel fuzzy non-homogeneity measure based kernelized image segmentation for noisy images. FUZZ-IEEE 2014: 245-252 - [c155]Soham Sarkar, Sujoy Paul, Ritambhar Burman, Swagatam Das, Sheli Sinha Chaudhuri:
A Fuzzy Entropy Based Multi-Level Image Thresholding Using Differential Evolution. SEMCCO 2014: 386-395 - [i2]Debdipta Goswami, Chiranjib Saha, Kunal Pal, Swagatam Das:
Multi-Agent Shape Formation and Tracking Inspired from a Social Foraging Dynamics. CoRR abs/1410.3864 (2014) - 2013
- [j60]Aniruddha Basak, Dipankar Maity, Swagatam Das:
A differential invasive weed optimization algorithm for improved global numerical optimization. Appl. Math. Comput. 219(12): 6645-6668 (2013) - [j59]Subhrajit Roy, Sk. Minhazul Islam, Swagatam Das, Saurav Ghosh:
Multimodal optimization by artificial weed colonies enhanced with localized group search optimizers. Appl. Soft Comput. 13(1): 27-46 (2013) - [j58]Swagatam Das, Subhodip Biswas, Souvik Kundu:
Synergizing fitness learning with proximity-based food source selection in artificial bee colony algorithm for numerical optimization. Appl. Soft Comput. 13(12): 4676-4694 (2013) - [j57]Soumyadip Sengupta, Swagatam Das, Md. Nasir, Bijaya K. Panigrahi:
Multi-objective node deployment in WSNs: In search of an optimal trade-off among coverage, lifetime, energy consumption, and connectivity. Eng. Appl. Artif. Intell. 26(1): 405-416 (2013) - [j56]Arkabandhu Chowdhury, Arnab Ghosh, Subhajit Sinha, Swagatam Das, Avishek Ghosh:
A novel genetic algorithm to solve travelling salesman problem and blocking flow shop scheduling problem. Int. J. Bio Inspired Comput. 5(5): 303-314 (2013) - [j55]Soumyadip Sengupta, Swagatam Das, Md. Nasir, Ponnuthurai N. Suganthan:
Risk minimization in biometric sensor networks: an evolutionary multi-objective optimization approach. Soft Comput. 17(1): 133-144 (2013) - [j54]Swagatam Das, Rammohan Mallipeddi, Dipankar Maity:
Adaptive evolutionary programming with p-best mutation strategy. Swarm Evol. Comput. 9: 58-68 (2013) - [j53]Udit Halder, Swagatam Das, Dipankar Maity:
A Cluster-Based Differential Evolution Algorithm With External Archive for Optimization in Dynamic Environments. IEEE Trans. Cybern. 43(3): 881-897 (2013) - [j52]Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
A Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization. IEEE Trans. Evol. Comput. 17(3): 387-402 (2013) - [j51]Aniruddha Basak, Swagatam Das, Kay Chen Tan:
Multimodal Optimization Using a Biobjective Differential Evolution Algorithm Enhanced With Mean Distance-Based Selection. IEEE Trans. Evol. Comput. 17(5): 666-685 (2013) - [j50]Soham Sarkar, Swagatam Das:
Multilevel Image Thresholding Based on 2D Histogram and Maximum Tsallis Entropy - A Differential Evolution Approach. IEEE Trans. Image Process. 22(12): 4788-4797 (2013) - [j49]Pratyusha Rakshit, Amit Konar, Pavel Bhowmik, Indrani Goswami, Swagatam Das, Lakhmi C. Jain, Atulya K. Nagar:
Realization of an Adaptive Memetic Algorithm Using Differential Evolution and Q-Learning: A Case Study in Multirobot Path Planning. IEEE Trans. Syst. Man Cybern. Syst. 43(4): 814-831 (2013) - [c154]Saugat Bhattacharyya, Pratyusha Rakshit, Amit Konar, D. N. Tibarewala, Swagatam Das, Atulya K. Nagar:
Differential evolution with temporal difference Q-learning based feature selection for motor imagery EEG data. CCMB 2013: 138-145 - [c153]Rohan Mukherjee, Shantanab Debchoudhury, Rupam Kundu, Swagatam Das, Ponnuthurai N. Suganthan:
Adaptive Differential Evolution with Locality based Crossover for Dynamic Optimization. IEEE Congress on Evolutionary Computation 2013: 63-70 - [c152]Rupam Kundu, Rohan Mukherjee, Shantanab Debchoudhury, Swagatam Das, Ponnuthurai N. Suganthan, Thanos Vasilakos:
Improved CMA-ES with Memory based Directed Individual Generation for Real Parameter Optimization. IEEE Congress on Evolutionary Computation 2013: 748-755 - [c151]Subhodip Biswas, Souvik Kundu, Swagatam Das, Athanasios V. Vasilakos:
Teaching and learning best Differential Evoltuion with self adaptation for real parameter optimization. IEEE Congress on Evolutionary Computation 2013: 1115-1122 - [c150]Shantanab Debchoudhury, Subhodip Biswas, Souvik Kundu, Swagatam Das, Athanasios V. Vasilakos, Ankur Mondal:
Modified estimation of Distribution algorithm with differential mutation for constrained optimization. IEEE Congress on Evolutionary Computation 2013: 1724-1731 - [c149]Kunal Pal, Chiranjib Saha, Swagatam Das, Carlos Artemio Coello Coello:
Dynamic Constrained Optimization with offspring repair based Gravitational Search Algorithm. IEEE Congress on Evolutionary Computation 2013: 2414-2421 - [c148]Miguel A. Medina, Swagatam Das, Carlos A. Coello Coello, Juan M. Ramirez:
Two decomposition-based modem metaheuristic algorithms for multi-objective optimization - A comparative study. MCDM 2013: 9-16 - [c147]Soham Sarkar, Swagatam Das, Sujoy Paul, S. Polley, Ritambhar Burman, Sheli Sinha Chaudhuri:
Multi-level image segmentation based on fuzzy - Tsallis entropy and differential evolution. FUZZ-IEEE 2013 - [c146]Subhodip Biswas, Souvik Kundu, Swagatam Das, Athanasios V. Vasilakos:
Information sharing in bee colony for detecting multiple niches in non-stationary environments. GECCO (Companion) 2013: 1-2 - [c145]Souvik Kundu, Subhodip Biswas, Swagatam Das, Ponnuthurai N. Suganthan:
Crowding-based local differential evolution with speciation-based memory archive for dynamic multimodal optimization. GECCO 2013: 33-40 - [c144]Swagatam Das, Rohan Mukherjee, Rupam Kundu, Thanos Vasilakos:
Multi-user detection in multi-carrier CDMA wireless broadband system using a binary adaptive differential evolution algorithm. GECCO 2013: 1245-1252 - [c143]Pratyusha Rakshit, Amit Konar, Swagatam Das, Atulya K. Nagar:
ABC-TDQL: An adaptive memetic algorithm. HIMA 2013: 35-42 - [c142]Rupam Kundu, Rohan Mukherjee, Swagatam Das, Athanasios V. Vasilakos:
Adaptive differential evolution with difference mean based perturbation for dynamic economic dispatch problem. SDE 2013: 38-45 - [c141]Subhodip Biswas, Souvik Kundu, Digbalay Bose, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
Synchronizing Differential Evolution with a modified affinity-based mutation framework. SDE 2013: 61-68 - [c140]Rupam Kundu, Rohan Mukherjee, Shantanab Debchoudhury, Swagatam Das, Athanasios V. Vasilakos:
Dynamic Differential Evolution with Difference Mean Based Perturbation. SDE 2013: 127-134 - [c139]Soham Sarkar, Gyana Ranjan Patra, Swagatam Das, Sheli Sinha Chaudhuri:
Fuzzy Clustering of Image Pixels with a Fitness-Based Adaptive Differential Evolution. SEMCCO (1) 2013: 179-188 - [c138]Aritra Sen, Subhrajit Roy, Swagatam Das:
A Modified Differential Evolution for Symbol Detection in MIMO-OFDM System. SEMCCO (1) 2013: 236-247 - [c137]Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das:
An Adaptive Differential Evolution Based Fuzzy Approach for Edge Detection in Color and Grayscale Images. SEMCCO (1) 2013: 260-273 - [c136]Ritambhar Burman, Sujoy Paul, Swagatam Das:
A Differential Evolution Approach to Multi-level Image Thresholding Using Type II Fuzzy Sets. SEMCCO (1) 2013: 274-285 - [c135]Sudipto Mukherjee, Sarthak Chatterjee, Debdipta Goswami, Swagatam Das:
Differential Evolution with Controlled Annihilation and Regeneration of Individuals and A Novel Mutation Scheme. SEMCCO (1) 2013: 286-297 - [c134]Kunal Pal, Chiranjib Saha, Swagatam Das:
Differential Evolution and Offspring Repair Method Based Dynamic Constrained Optimization. SEMCCO (1) 2013: 298-309 - [c133]Rupam Kundu, Rohan Mukherjee, Swagatam Das:
Adaptive Differential Evolution with Difference Mean Based Perturbation for Practical Engineering Optimization Problems. SEMCCO (1) 2013: 310-320 - [c132]Srinjoy Ganguly, Swagatam Das:
A Novel Ant Colony Optimization Algorithm for the Vehicle Routing Problem. SEMCCO (1) 2013: 401-412 - [c131]Anguluri Rajasekhar, Shantanu Das, Swagatam Das:
Chaos Synchronization in Commensurate Fractional Order Lü System via Optimal PI λ D μ Controller with Artificial Bee Colony Algorithm. SEMCCO (1) 2013: 457-468 - [c130]Anguluri Rajasekhar, Swagatam Das:
Cooperative Micro Artificial Bee Colony Algorithm for Large Scale Global Optimization Problems. SEMCCO (1) 2013: 469-480 - [c129]Rohan Mukherjee, Rupam Kundu, Sanjoy Das, Bijaya Ketan Panigrahi, Swagatam Das:
A Game Theoretic Approach for Reliable Power Supply in Islanded DG Grids. SEMCCO (2) 2013: 487-498 - [c128]Swagatam Das, Preetam Dasgupta, Bijaya Ketan Panigrahi:
Inter-species Cuckoo Search via Different Levy Flights. SEMCCO (1) 2013: 515-526 - [c127]Tribeni Prasad Banerjee, Swagatam Das:
Intelligent Fault Tracking by an Adaptive Fuzzy Predictor and a Fractional Controller of Electromechanical System - A Hybrid Approach. SEMCCO (2) 2013: 574-582 - [c126]Bagepalli Sreenivas Theja, Anguluri Rajasekhar, D. P. Kothari, Swagatam Das:
Design of PID controller based power system stabilizer using Modified Philip-Heffron's model: An artificial bee colony approach. SIS 2013: 228-234 - [c125]Subhodip Biswas, Souvik Kundu, Digbalay Bose, Swagatam Das, Ponnuthurai N. Suganthan, Bijaya K. Panigrahi:
Migrating forager population in a multi-population Artificial Bee Colony algorithm with modified perturbation schemes. SIS 2013: 248-255 - [e8]Janez Brest, Swagatam Das, Ferrante Neri, Ponnuthurai N. Suganthan:
2013 IEEE Symposium on Differential Evolution, SDE 2013, Singapore, Singapore, April 16-19, 2013. IEEE 2013, ISBN 978-1-4673-5873-6 [contents] - [e7]Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Subhransu Sekhar Dash:
Swarm, Evolutionary, and Memetic Computing - 4th International Conference, SEMCCO 2013, Chennai, India, December 19-21, 2013, Proceedings, Part I. Lecture Notes in Computer Science 8297, Springer 2013, ISBN 978-3-319-03752-3 [contents] - [e6]Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Subhransu Sekhar Dash:
Swarm, Evolutionary, and Memetic Computing - 4th International Conference, SEMCCO 2013, Chennai, India, December 19-21, 2013, Proceedings, Part II. Lecture Notes in Computer Science 8298, Springer 2013, ISBN 978-3-319-03755-4 [contents] - 2012
- [j48]Sayan Ghosh, Swagatam Das, Debarati Kundu, Kaushik Suresh, Ajith Abraham:
Inter-particle communication and search-dynamics of lbest particle swarm optimizers: An analysis. Inf. Sci. 182(1): 156-168 (2012) - [j47]Saurav Ghosh, Swagatam Das, Subhrajit Roy, Sk. Minhazul Islam, Ponnuthurai N. Suganthan:
A Differential Covariance Matrix Adaptation Evolutionary Algorithm for real parameter optimization. Inf. Sci. 182(1): 199-219 (2012) - [j46]Md. Nasir, Swagatam Das, Dipankar Maity, Soumyadip Sengupta, Udit Halder, Ponnuthurai N. Suganthan:
A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization. Inf. Sci. 209: 16-36 (2012) - [j45]Tribeni Prasad Banerjee, Swagatam Das:
Multi-sensor data fusion using support vector machine for motor fault detection. Inf. Sci. 217: 96-107 (2012) - [j44]Sayan Ghosh, Swagatam Das, Debarati Kundu, Kaushik Suresh, Bijaya K. Panigrahi, Zhihua Cui:
An inertia-adaptive particle swarm system with particle mobility factor for improved global optimization. Neural Comput. Appl. 21(2): 237-250 (2012) - [j43]Aritra Chowdhury, Swagatam Das:
Automatic shape independent clustering inspired by ant dynamics. Swarm Evol. Comput. 3: 33-45 (2012) - [j42]Sayan Ghosh, Swagatam Das, Athanasios V. Vasilakos, Kaushik Suresh:
On Convergence of Differential Evolution Over a Class of Continuous Functions With Unique Global Optimum. IEEE Trans. Syst. Man Cybern. Part B 42(1): 107-124 (2012) - [j41]Sk. Minhazul Islam, Swagatam Das, Saurav Ghosh, Subhrajit Roy, Ponnuthurai Nagaratnam Suganthan:
An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization. IEEE Trans. Syst. Man Cybern. Part B 42(2): 482-500 (2012) - [j40]Swagatam Das, Udit Halder, Dipankar Maity:
Chaotic Dynamics in Social Foraging Swarms - An Analysis. IEEE Trans. Syst. Man Cybern. Part B 42(4): 1288-1293 (2012) - [j39]Swagatam Das, Meng-Hiot Lim:
Guest Editorial: Special Issue on Engineering Applications of Memetic Computing. IEEE Trans. Syst. Man Cybern. Part C 42(5): 609-611 (2012) - [j38]Soumyadip Sengupta, Swagatam Das, Md. Nasir, Athanasios V. Vasilakos, Witold Pedrycz:
An Evolutionary Multiobjective Sleep-Scheduling Scheme for Differentiated Coverage in Wireless Sensor Networks. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1093-1102 (2012) - [j37]Pradipta Ghosh, Swagatam Das, Hamim Zafar:
Adaptive-Differential-Evolution-Based Design of Two-Channel Quadrature Mirror Filter Banks for Sub-Band Coding and Data Transmission. IEEE Trans. Syst. Man Cybern. Part C 42(6): 1613-1623 (2012) - [c124]Arnab Ghosh, Arkabandhu Chowdhury, Subhajit Sinha, Athanasios V. Vasilakos, Swagatam Das:
A genetic Lbest Particle Swarm Optimizer with dynamically varying subswarm topology. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c123]Md. Nasir, Soumyadip Sengupta, Swagatam Das, Ponnuthurai N. Suganthan:
An improved multi-objective optimization algorithm based on fuzzy dominance for risk minimization in biometric sensor network. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c122]Anguluri Rajasekhar, Swagatam Das, Ponnuthurai N. Suganthan:
Design of Fractional Order Controller for a servohydraulic positioning system with micro Artificial Bee Colony algorithm. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c121]Soumyadip Sengupta, Swagatam Das, Md. Nasir, Athanasios V. Vasilakos, Witold Pedrycz:
Energy-efficient differentiated coverage of dynamic objects using an improved evolutionary multi-objective optimization algorithm with fuzzy-dominance. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c120]Anguluri Rajasekhar, Swagatam Das, Sanjoy Das:
μABC: a micro artificial bee colony algorithm for large scale global optimization. GECCO (Companion) 2012: 1399-1400 - [c119]Md. Nasir, Soumyadip Sengupta, Swagatam Das, Sanjoy Das:
Configuration of sensors on a 3-D terrain: an approach based on evolutionary multi-objective optimization. GECCO (Companion) 2012: 1443-1444 - [c118]Soham Sarkar, Swagatam Das, Sheli Sinha Chaudhuri:
Multilevel Image Thresholding Based on Tsallis Entropy and Differential Evolution. SEMCCO 2012: 17-24 - [c117]Souvik Kundu, Subhodip Biswas, Swagatam Das, Digbalay Bose:
A Selective Teaching-Learning Based Niching Technique with Local Diversification Strategy. SEMCCO 2012: 160-168 - [c116]Anguluri Rajasekhar, Swagatam Das, Bijaya Ketan Panigrahi, Manas Kumar Mallick:
Neighborhood Search Based Artificial Bee Colony Algorithm for Numerical Function Optimization. SEMCCO 2012: 232-239 - [c115]Rohan Mukherjee, Rupam Kundu, Swagatam Das:
Clustered Parent Centric Normal Cross-Over for Multimodal Optimization. SEMCCO 2012: 276-284 - [c114]Anguluri Rajasekhar, Swagatam Das:
Teaching Learning Opposition Based Optimization for the Location of Median Line in 3-D Space. SEMCCO 2012: 331-338 - [c113]Dipankar Maity, Udit Halder, Swagatam Das, Bijaya Ketan Panigrahi:
On the Non Linear Dynamics of the Global Best Particle in Particle Swarm Optimization. SEMCCO 2012: 425-432 - [c112]Satyajit Neogi, Deblina Das, Swagatam Das:
Adaptive Differential Evolution with Directional Information Based Search Moves. SEMCCO 2012: 433-441 - [c111]Digbalay Bose, Souvik Kundu, Subhodip Biswas, Swagatam Das:
Circular Antenna Array Design Using Novel Perturbation Based Artificial Bee Colony Algorithm. SEMCCO 2012: 459-466 - [c110]Subhodip Biswas, Souvik Kundu, Digbalay Bose, Swagatam Das:
Cooperative Co-evolutionary Teaching-Learning Based Algorithm with a Modified Exploration Strategy for Large Scale Global Optimization. SEMCCO 2012: 467-475 - [c109]Digbalay Bose, Subhodip Biswas, Souvik Kundu, Swagatam Das:
A Strategy Pool Adaptive Artificial Bee Colony Algorithm for Dynamic Environment through Multi-population Approach. SEMCCO 2012: 611-619 - [c108]Rupam Kundu, Rohan Mukherjee, Swagatam Das:
Modified Particle Swarm Optimization with Switching Update Strategy. SEMCCO 2012: 644-652 - [c107]Srinjoy Ganguly, Swahum Mukherjee, Debabrota Basu, Swagatam Das:
A Novel Strategy Adaptive Genetic Algorithm with Greedy Local Search for the Permutation Flowshop Scheduling Problem. SEMCCO 2012: 687-696 - [c106]Jaydeep Ghosh Chowdhury, Aritra Chowdhury, Arghya Sur, Swagatam Das:
Design of Non-uniform Circular Antenna Arrays Using Coordinated Bacterial Dynamics and Opposite Numbers. SEMCCO 2012: 746-753 - [c105]Swahum Mukherjee, Srinjoy Ganguly, Swagatam Das:
A Strategy Adaptive Genetic Algorithm for Solving the Travelling Salesman Problem. SEMCCO 2012: 778-784 - [c104]Md. Nasir, Soumyadip Sengupta, Swagatam Das:
Efficient Design of Cosine-Modulated Filter Banks Using Evolutionary Multi-objective Optimization. SEMCCO 2012: 785-792 - [c103]Srinjoy Ganguly, Arkabandhu Chowdhury, Swahum Mukherjee, Ponnuthurai N. Suganthan, Swagatam Das, Tay Jin Chua:
A Hybrid Discrete Differential Evolution Algorithm for Economic Lot Scheduling Problem with Time Variant Lot Sizing. SOCO 2012: 1-12 - [e5]Bijaya K. Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Pradipta Kumar Nanda:
Swarm, Evolutionary, and Memetic Computing - Third International Conference, SEMCCO 2012, Bhubaneswar, India, December 20-22, 2012. Proceedings. Lecture Notes in Computer Science 7677, Springer 2012, ISBN 978-3-642-35379-6 [contents] - 2011
- [j36]Arnob Ghosh, Swagatam Das, Aritra Chowdhury, Ritwik Giri:
An ecologically inspired direct search method for solving optimal control problems with Bézier parameterization. Eng. Appl. Artif. Intell. 24(7): 1195-1203 (2011) - [j35]Mrutyunjaya Panda, Ajith Abraham, Swagatam Das, Manas Ranjan Patra:
Network intrusion detection system: A machine learning approach. Intell. Decis. Technol. 5(4): 347-356 (2011) - [j34]Siddharth Pal, Aniruddha Basak, Swagatam Das:
Linear antenna array synthesis with modified invasive weed optimisation algorithm. Int. J. Bio Inspired Comput. 3(4): 238-251 (2011) - [j33]Prithwish Chakraborty, Swagatam Das, Gourab Ghosh Roy, Ajith Abraham:
On convergence of the multi-objective particle swarm optimizers. Inf. Sci. 181(8): 1411-1425 (2011) - [j32]Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swagatam Das, Bijaya K. Panigrahi, Sanjoy Das:
Multi-objective optimization with artificial weed colonies. Inf. Sci. 181(12): 2441-2454 (2011) - [j31]Prithwish Chakraborty, Swagatam Das, Gourab Ghosh Roy, Ajith Abraham:
Erratum to "On convergence of the multi-objective particle swarm optimizers" [Inform. Sci 181 (2011) 1411-1425]. Inf. Sci. 181(16): 3533 (2011) - [j30]Arnob Ghosh, Swagatam Das, Aritra Chowdhury, Ritwik Giri:
An improved differential evolution algorithm with fitness-based adaptation of the control parameters. Inf. Sci. 181(18): 3749-3765 (2011) - [j29]Tribeni Prasad Banerjee, Amit Konar, Swagatam Das, Ajith Abraham:
An Intelligent Lossless Data Compressor Implementation using Reconfigurable Hardware. J. Inf. Hiding Multim. Signal Process. 2(1): 41-50 (2011) - [j28]Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Self-adaptive differential evolution with multi-trajectory search for large-scale optimization. Soft Comput. 15(11): 2175-2185 (2011) - [j27]Swagatam Das, Sayan Maity, Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan:
Real-parameter evolutionary multimodal optimization - A survey of the state-of-the-art. Swarm Evol. Comput. 1(2): 71-88 (2011) - [j26]Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Carlos Artemio Coello Coello:
Guest Editorial Special Issue on Differential Evolution. IEEE Trans. Evol. Comput. 15(1): 1-3 (2011) - [j25]Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
Differential Evolution: A Survey of the State-of-the-Art. IEEE Trans. Evol. Comput. 15(1): 4-31 (2011) - [j24]Swagatam Das, Arpan Mukhopadhyay, Anwit Roy, Ajith Abraham, Bijaya K. Panigrahi:
Exploratory Power of the Harmony Search Algorithm: Analysis and Improvements for Global Numerical Optimization. IEEE Trans. Syst. Man Cybern. Part B 41(1): 89-106 (2011) - [j23]Abhishek Sinha, Swagatam Das, Bijaya K. Panigrahi:
A Linear State-Space Analysis of the Migration Model in an Island Biogeography System. IEEE Trans. Syst. Man Cybern. Part A 41(2): 331-337 (2011) - [c102]Udit Halder, Swagatam Das, Dipankar Maity, Ajith Abraham, Preetam Dasgupta:
Self adaptive cluster based and weed inspired differential evolution algorithm for real world optimization. IEEE Congress on Evolutionary Computation 2011: 750-756 - [c101]Pradipta Ghosh, Hamim Zafar, Swagatam Das, Ajith Abraham:
Hierarchical dynamic neighborhood based Particle Swarm Optimization for global optimization. IEEE Congress on Evolutionary Computation 2011: 757-764 - [c100]Mohammed Nasir, Arnab Kumar Mondal, Soumyadip Sengupta, Swagatam Das, Ajith Abraham:
An improved Multiobjective Evolutionary Algorithm based on decomposition with fuzzy dominance. IEEE Congress on Evolutionary Computation 2011: 765-772 - [c99]Ankush Mandal, Aveek Kumar Das, Prithwijit Mukherjee, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
Modified differential evolution with local search algorithm for real world optimization. IEEE Congress on Evolutionary Computation 2011: 1565-1572 - [c98]Saurav Ghosh, Subhrajit Roy, Swagatam Das, Ajith Abraham, Sk. Minhazul Islam:
Peak-to-average power ratio reduction in OFDM systems using an adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation 2011: 1941-1949 - [c97]Sk. Minhazul Islam, Saurav Ghosh, Swagatam Das, Ajith Abraham, Subhrajit Roy:
A Modified Discrete Differential Evolution based TDMA scheduling scheme for many to one communications in wireless sensor networks. IEEE Congress on Evolutionary Computation 2011: 1950-1957 - [c96]Uday K. Chakraborty, Swagatam Das, Travis E. Abbott:
Clustering in mobile ad hoc networks with differential evolution. IEEE Congress on Evolutionary Computation 2011: 2223-2228 - [c95]Subhrajit Roy, Sk. Minhazul Islam, Saurav Ghosh, Swagatam Das, Ajith Abraham, Pavel Krömer:
A modified differential evolution for autonomous deployment and localization of sensor nodes. GECCO (Companion) 2011: 235-236 - [c94]Tribeni Prasad Banerjee, Swagatam Das, Ajith Abraham:
Design of an optimized intelligent controller of electromechanical system in aerospace application. HIS 2011: 50-54 - [c93]Ankush Mandal, Hamim Zafar, Pradipta Ghosh, Swagatam Das, Ajith Abraham:
An efficient memetic algorithm for parameter tuning of PID controller in AVR system. HIS 2011: 265-270 - [c92]Ankush Mandal, Swagatam Das, Ajith Abraham:
A differential evolution based Memetic Algorithm for workload optimization in power generation plants. HIS 2011: 271-276 - [c91]Gyana Ranjan Patra, Sayan Maity, Soumen Sardar, Swagatam Das:
Nonlinear Channel Equalization for Digital Communications Using DE-Trained Functional Link Artificial Neural Networks. IC3 2011: 403-414 - [c90]Soumen Sardar, Sayan Maity, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
Constrained real parameter optimization with a gradient repair based Differential Evolution algorithm. SDE 2011: 1-8 - [c89]Saurav Ghosh, Subhrajit Roy, Sk. Minhazul Islam, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
A differential covariance matrix adaptation evolutionary algorithm for global optimization. SDE 2011: 193-200 - [c88]Pradipta Ghosh, Hamim Zafar, Joydeep Banerjee, Swagatam Das:
Design of Two-Channel Quadrature Mirror Filter Banks Using Differential Evolution with Global and Local Neighborhoods. SEMCCO (1) 2011: 1-10 - [c87]Udit Halder, Dipankar Maity, Preetam Dasgupta, Swagatam Das:
Self-adaptive Cluster-Based Differential Evolution with an External Archive for Dynamic Optimization Problems. SEMCCO (1) 2011: 19-26 - [c86]Soham Sarkar, Gyana Ranjan Patra, Swagatam Das:
A Differential Evolution Based Approach for Multilevel Image Segmentation Using Minimum Cross Entropy Thresholding. SEMCCO (1) 2011: 51-58 - [c85]Ratul Majumdar, Aveek Kumar Das, Swagatam Das:
Dynamic Thinning of Antenna Array Using Differential Evolution Algorithm. SEMCCO (1) 2011: 94-101 - [c84]Ratul Majumdar, Ankur Ghosh, Souvik Raha, Koushik Laha, Swagatam Das:
A Quantized Invasive Weed Optimization Based Antenna Array Synthesis with Digital Phase Control. SEMCCO (1) 2011: 102-109 - [c83]Aritra Chowdhury, Sandip Bose, Swagatam Das:
Automatic Clustering Based on Invasive Weed Optimization Algorithm. SEMCCO (2) 2011: 105-112 - [c82]Sk. Minhazul Islam, Saurav Ghosh, Subhrajit Roy, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Synthesis and Design of Thinned Planar Concentric Circular Antenna Array - A Multi-objective Approach. SEMCCO (2) 2011: 182-190 - [c81]Saurav Ghosh, Subhrajit Roy, Sk. Minhazul Islam, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Non-uniform Circular-Shaped Antenna Array Design and Synthesis - A Multi-Objective Approach. SEMCCO (2) 2011: 223-230 - [c80]Subhrajit Roy, Sk. Minhazul Islam, Saurav Ghosh, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Design of Two Channel Quadrature Mirror Filter Bank: A Multi-Objective Approach. SEMCCO (2) 2011: 239-247 - [c79]Tribeni Prasad Banerjee, Swagatam Das:
Statistical and Fusion Based Hybrid Approach for Fault Signal Classification in Electromechanical System. SEMCCO (2) 2011: 287-293 - [c78]Anguluri Rajasekhar, Vedurupaka Chaitanya, Swagatam Das:
Fractional-Order PI λ D μ Controller Design Using a Modified Artificial Bee Colony Algorithm. SEMCCO (1) 2011: 670-678 - [c77]Soumyadip Sengupta, Md. Nasir, Arnab Kumar Mondal, Swagatam Das:
An Improved Multi-Objective Algorithm Based on Decomposition with Fuzzy Dominance for Deployment of Wireless Sensor Networks. SEMCCO (1) 2011: 688-696 - [c76]Ratul Majumdar, Ankur Ghosh, Aveek Kumar Das, Souvik Raha, Koushik Laha, Swagatam Das, Ajith Abraham:
Artificial Weed Colonies with Neighbourhood Crowding Scheme for Multimodal Optimization. SocProS (1) 2011: 779-787 - [p9]Bijaya K. Panigrahi, Ankita Mohapatra, Prakash K. Ray, Swagatam Das:
Automated Power Quality Disturbance Classification Using Evolvable Neural Network. Integration of Swarm Intelligence and Artificial Neural Network 2011: 121-136 - [e4]Bijaya K. Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy:
Swarm, Evolutionary, and Memetic Computing - Second International Conference, SEMCCO 2011, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011, Proceedings, Part I. Lecture Notes in Computer Science 7076, Springer 2011, ISBN 978-3-642-27171-7 [contents] - [e3]Bijaya K. Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy:
Swarm, Evolutionary, and Memetic Computing - Second International Conference, SEMCCO 2011, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011, Proceedings, Part II. Lecture Notes in Computer Science 7077, Springer 2011, ISBN 978-3-642-27241-7 [contents] - [i1]Abhishek Sinha, Swagatam Das, Athanasios V. Vasilakos:
On Periodic Node Deployment in Wireless Sensor Networks: A Statistical Analysis. CoRR abs/1109.3150 (2011) - 2010
- [j22]Arijit Biswas, Swagatam Das, Ajith Abraham, Sambarta Dasgupta:
Analysis of the reproduction operator in an artificial bacterial foraging system. Appl. Math. Comput. 215(9): 3343-3355 (2010) - [j21]V. Ravikumar Pandi, S. K. Sinha, Ankita Mohapatra, Bijaya K. Panigrahi, Swagatam Das:
Optimal feature retrieval for classification of non-stationary Power Quality disturbances. Int. J. Artif. Intell. Soft Comput. 2(3): 211-222 (2010) - [j20]V. Ravikumar Pandi, Bijaya K. Panigrahi, Swagatam Das, Zhihua Cui:
Dynamic economic load dispatch with wind energy using modified harmony search. Int. J. Bio Inspired Comput. 2(3/4): 282-289 (2010) - [j19]Gourab Ghosh Roy, Prithwish Chakraborty, Swagatam Das:
Designing fractional-order PIlambdaDµ controller using differential harmony search algorithm. Int. J. Bio Inspired Comput. 2(5): 303-309 (2010) - [j18]Nayan R. Samal, Amit Konar, Swagatam Das, Atulya K. Nagar:
Parameter selection of a Particle Swarm Optimisation dynamics by closed loop stability analysis. Int. J. Comput. Sci. Math. 3(3): 245-274 (2010) - [j17]Swagatam Das, Sudeshna Sil:
Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm. Inf. Sci. 180(8): 1237-1256 (2010) - [j16]Sambarta Dasgupta, Swagatam Das, Arijit Biswas, Ajith Abraham:
Automatic circle detection on digital images with an adaptive bacterial foraging algorithm. Soft Comput. 14(11): 1151-1164 (2010) - [j15]Arijit Biswas, Swagatam Das, Ajith Abraham, Sambarta Dasgupta:
Stability analysis of the reproduction operator in bacterial foraging optimization. Theor. Comput. Sci. 411(21): 2127-2139 (2010) - [c75]Aniruddha Basak, Siddharth Pal, Swagatam Das, Ajith Abraham, Václav Snásel:
A modified Invasive Weed Optimization algorithm for time-modulated linear antenna array synthesis. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c74]Pavel Bhowmik, Sauvik Das, Amit Konar, Swagatam Das, Atulya K. Nagar:
A new differential evolution with improved mutation strategy. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c73]Prithwish Chakraborty, Swagatam Das, Ajith Abraham, Václav Snásel, Gourab Ghosh Roy:
On convergence of multi-objective Particle Swarm Optimizers. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c72]Aritra Chowdhury, Ritwik Giri, Arnob Ghosh, Swagatam Das, Ajith Abraham, Václav Snásel:
Linear antenna array synthesis using fitness-adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c71]Gourab Ghosh Roy, Prithwish Chakraborty, Shi-Zheng Zhao, Swagatam Das, Ponnuthurai Nagaratnam Suganthan:
Artificial foraging weeds for global numerical optimization over continuous spaces. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c70]Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Dynamic multi-swarm particle swarm optimizer with sub-regional harmony search. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c69]Sohini Roychoudhury, Sanjoy Das, Caterina M. Scoglio, Swagatam Das, Bijaya K. Panigrahi, Shyam S. Pattnaik:
Mitigation strategies in epidemics: evolutionary optimization using a hierarchy of objective functions. GECCO 2010: 1325-1326 - [c68]Sayan Ghosh, Swagatam Das, Sanjoy Das:
On the asymptotic convergence of differential evolution in continuous spaces: a control theoretic approach. GECCO (Companion) 2010: 2073-2074 - [c67]Arnob Ghosh, Aritra Chowdhury, Ritwik Giri, Swagatam Das, Sanjoy Das:
A fitness-based adaptation scheme for control parameters in differential evolution. GECCO (Companion) 2010: 2075-2076 - [c66]Arnob Ghosh, Aritra Chowdhury, Ritwik Giri, Swagatam Das, Ajith Abraham:
A hybrid evolutionary direct search technique for solving Optimal Control problems. HIS 2010: 125-130 - [c65]Annirudha Basak, Siddharth Pal, Swagatam Das, Ajith Abraham:
Circular antenna array synthesis with a Differential Invasive Weed Optimization algorithm. HIS 2010: 153-158 - [c64]Tribeni Prasad Banerjee, Joydeb Roychoudhury, Swagatam Das, Ajith Abraham:
Hybrid Intelligent Predictive Control System for High Speed BLDC Motor in Aerospace Application. ICETET 2010: 258-262 - [c63]Arnob Ghosh, Ritwik Giri, Aritra Chowdhury, Swagatam Das, Ajith Abraham:
Two-channel quadrature mirror bank filter design using a Fitness- Adaptive Differential Evolution algorithm. NaBIC 2010: 634-641 - [c62]Siddharth Pal, Aniruddha Basak, Swagatam Das, Ponnuthurai N. Suganthan:
Synthesis of Difference Patterns for Monopulse Antenna Arrays - An Evolutionary Multi-objective Optimization Approach. SEAL 2010: 504-513 - [c61]Siddharth Pal, Aniruddha Basak, Swagatam Das:
Automatic Shape Independent Shell Clustering Using an Ant Based Approach. SEAL 2010: 593-602 - [c60]Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Self-adaptive Differential Evolution with Modified Multi-Trajectory Search for CEC'2010 Large Scale Optimization. SEMCCO 2010: 1-10 - [c59]Ritwik Giri, Arnob Ghosh, Aritra Chowdhury, Swagatam Das:
Multi Sensor Fusion Using Fitness Adaptive Differential Evolution. SEMCCO 2010: 62-70 - [c58]Aritra Chowdhury, Arnob Ghosh, Ritwik Giri, Swagatam Das:
Electromagnetic Antenna Configuration Optimization Using Fitness Adaptive Differential Evolution. SEMCCO 2010: 87-94 - [c57]Sk. Minhazul Islam, Saurav Ghosh, Subhrajit Roy, Swagatam Das:
Adaptive Differential Evolution with p-Best Crossover for Continuous Global Optimization. SEMCCO 2010: 119-128 - [c56]Sayan Maity, Kumar Gunjan, Swagatam Das:
An Improved Evolutionary Programming with Voting and Elitist Dispersal Scheme. SEMCCO 2010: 206-213 - [c55]Siddharth Pal, Aniruddha Basak, Swagatam Das:
Detection and Length Estimation of Linear Scratch on Solid Surfaces Using an Angle Constrained Ant Colony Technique. SEMCCO 2010: 254-261 - [c54]Soham Sarkar, Swagatam Das:
A Hybrid Particle Swarm with Differential Evolution Operator Approach (DEPSO) for Linear Array Synthesis. SEMCCO 2010: 416-423 - [c53]Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Bijaya K. Panigrahi, Swagatam Das:
Offline Parameter Estimation of Induction Motor Using a Meta Heuristic Algorithm. SEMCCO 2010: 523-530 - [c52]Aniruddha Basak, Siddharth Pal, V. Ravikumar Pandi, Bijaya K. Panigrahi, Swagatam Das:
A Hybrid Differential Invasive Weed Algorithm for Congestion Management. SEMCCO 2010: 630-638 - [c51]Siddharth Pal, Aniruddha Basak, Swagatam Das, Ajith Abraham, Václav Snásel:
Automatic shell clustering using a metaheuristic approach. SMC 2010: 2579-2586 - [c50]Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Swagatam Das, Ajith Abraham, Václav Snásel:
A Modified Invasive Weed Optimization Algorithm for training of feed- forward Neural Networks. SMC 2010: 3166-3173 - [c49]Siddharth Pal, Aniruddha Basak, Swagatam Das, Ajith Abraham, Ivan Zelinka:
Concentric Circular Antenna Array synthesis using a differential Invasive Weed Optimization algorithm. SoCPaR 2010: 395-400 - [c48]Tribeni Prasad Banerjee, Swagatam Das, Joydeb Roychoudhury, Ajith Abraham:
Implementation of a New Hybrid Methodology for Fault Signal Classification Using Short -Time Fourier Transform and Support Vector Machines. SOCO 2010: 219-225 - [p8]Swagatam Das, Ajith Abraham:
Pattern Clustering Using a Swarm Intelligence Approach. Data Mining and Knowledge Discovery Handbook 2010: 469-504 - [p7]Bijaya K. Panigrahi, V. Ravikumar Pandi, Swagatam Das, Ajith Abraham:
Population Variance Harmony Search Algorithm to Solve Optimal Power Flow with Non-Smooth Cost Function. Recent Advances In Harmony Search Algorithm 2010: 65-75 - [e2]Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis, Kay Chen Tan:
Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010. Proceedings. Lecture Notes in Computer Science 6457, Springer 2010, ISBN 978-3-642-17297-7 [contents] - [e1]Bijaya K. Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Subhransu Sekhar Dash:
Swarm, Evolutionary, and Memetic Computing - First International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010, Chennai, India, December 16-18, 2010. Proceedings. Lecture Notes in Computer Science 6466, Springer 2010, ISBN 978-3-642-17562-6 [contents]
2000 – 2009
- 2009
- [b1]Swagatam Das, Ajith Abraham, Amit Konar:
Metaheuristic Clustering. Studies in Computational Intelligence 178, Springer 2009, ISBN 978-3-540-92172-1, pp. 1-247 [contents] - [j14]Sambarta Dasgupta, Swagatam Das, Arijit Biswas, Ajith Abraham:
On stability and convergence of the population-dynamics in differential evolution. AI Commun. 22(1): 1-20 (2009) - [j13]Swagatam Das, Amit Konar:
Automatic image pixel clustering with an improved differential evolution. Appl. Soft Comput. 9(1): 226-236 (2009) - [j12]Arijit Biswas, Swagatam Das, Ajith Abraham, Sambarta Dasgupta:
Design of fractional-order PIlambdaDµ controllers with an improved differential evolution. Eng. Appl. Artif. Intell. 22(2): 343-350 (2009) - [j11]Prithwish Chakraborty, Gourab Ghosh Roy, Swagatam Das, Dhaval Jain, Ajith Abraham:
An Improved Harmony Search Algorithm with Differential Mutation Operator. Fundam. Informaticae 95(4): 401-426 (2009) - [j10]Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swagatam Das, Ajith Abraham:
Data Clustering Using Multi-objective Differential Evolution Algorithms. Fundam. Informaticae 97(4): 381-403 (2009) - [j9]Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swagatam Das, Ajith Abraham, Sang Yong Han:
Multi-Objective Differential Evolution for Automatic Clustering with Application to Micro-Array Data Analysis. Sensors 9(5): 3981-4004 (2009) - [j8]Sayantani Bhattacharya, Amit Konar, Swagatam Das, Sang Yong Han:
A Lyapunov-Based Extension to Particle Swarm Dynamics for Continuous Function Optimization. Sensors 9(12): 9977-9997 (2009) - [j7]Swagatam Das, Ajith Abraham, Uday K. Chakraborty, Amit Konar:
Differential Evolution Using a Neighborhood-Based Mutation Operator. IEEE Trans. Evol. Comput. 13(3): 526-553 (2009) - [j6]Sambarta Dasgupta, Swagatam Das, Ajith Abraham, Arijit Biswas:
Adaptive Computational Chemotaxis in Bacterial Foraging Optimization: An Analysis. IEEE Trans. Evol. Comput. 13(4): 919-941 (2009) - [j5]Swagatam Das, Sambarta Dasgupta, Arijit Biswas, Ajith Abraham, Amit Konar:
On Stability of the Chemotactic Dynamics in Bacterial-Foraging Optimization Algorithm. IEEE Trans. Syst. Man Cybern. Part A 39(3): 670-679 (2009) - [c47]Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Bijaya K. Panigrahi, Ajith Abraham:
A micro-bacterial foraging algorithm for high-dimensional optimization. IEEE Congress on Evolutionary Computation 2009: 785-792 - [c46]Jayasree Chakraborty, Amit Konar, Atulya Nagar, Swagatam Das:
Rotation and translation selective Pareto optimal solution to the box-pushing problem by mobile robots using NSGA-II. IEEE Congress on Evolutionary Computation 2009: 2120-2126 - [c45]Swagatam Das, Archana Chowdhury, Ajith Abraham:
A Bacterial Evolutionary Algorithm for automatic data clustering. IEEE Congress on Evolutionary Computation 2009: 2403-2410 - [c44]Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swagatam Das, Ajith Abraham:
Automatic clustering with multi-objective Differential Evolution algorithms. IEEE Congress on Evolutionary Computation 2009: 2590-2597 - [c43]Debasish Datta, Sheli Sinha Chaudhuri, Amit Konar, Atulya Nagar, Swagatam Das:
A recurrent fuzzy neural model of a gene regulatory network for knowledge extraction using differential evolution. IEEE Congress on Evolutionary Computation 2009: 2900-2906 - [c42]Joydeb Roy Choudhury, Tribeni Prasad Banerjee, Swagatam Das, Ajith Abraham, Václav Snásel:
Fuzzy Rule Based Intelligent Security and Fire Detector System. CISIS 2009: 45-51 - [c41]Debasish Datta, Amit Konar, Ananda S. Chowdhury, Swagatam Das, Atulya K. Nagar:
Abductive reasoning with type 2 fuzzy sets. FUZZ-IEEE 2009: 2148-2153 - [c40]Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swagatam Das, Ajith Abraham, Youakim Badr:
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution. HAIS 2009: 177-186 - [c39]Arijit Biswas, Sambarta Dasgupta, Bijaya K. Panigrahi, V. Ravikumar Pandi, Swagatam Das, Ajith Abraham, Youakim Badr:
Economic Load Dispatch Using a Chemotactic Differential Evolution Algorithm. HAIS 2009: 252-260 - [c38]Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swagatam Das, Ajith Abraham, Bijaya K. Panigrahi, Václav Snásel:
On Some Properties of the lbest Topology in Particle Swarm Optimization. HIS (3) 2009: 370-375 - [c37]V. Ravikumar Pandi, Bijaya K. Panigrahi, Manas Kumar Mallick, Ajith Abraham, Swagatam Das:
Improved Harmony Search for Economic Power Dispatch. HIS (3) 2009: 403-408 - [c36]Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swagatam Das, Ajith Abraham:
IWO with Increased Deviation and Stochastic Selection (IWO-ID-SS) for Global Optimization of Noisy Fitness Functions. NaBIC 2009: 215-220 - [c35]Prithwish Chakraborty, Gourab Ghosh Roy, Swagatam Das, Bijaya K. Panigrahi:
On Population Variance and Explorative Power of Invasive Weed Optimization Algorithm. NaBIC 2009: 227-232 - [c34]Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swagatam Das, Ajith Abraham:
Design of Optimal Digital IIR Filters by using a Bandwidth Adaptive Harmony Search Algorithm. NaBIC 2009: 481-486 - [c33]Joydeb Roychoudhury, Tribeni Prasad Banerjee, Hema Gurung, A. K. Bhattacharjee, Swagatam Das:
Real Time State of Charge Prediction using Kalman Filter. NaBIC 2009: 1190-1194 - [c32]Siddharth Pal, Aniruddha Basak, Swagatam Das:
Constrained Real Parameter Optimization with an Ecologically inspired Algorithm. NaBIC 2009: 1270-1275 - [c31]Debarati Kundu, Kaushik Suresh, Swagatam Das, Sayan Ghosh:
Designing Fractional-order PIlambdaDµ Controller using a Modified Invasive Weed Optimization Algortihm. NaBIC 2009: 1315-1320 - [c30]Aruna Chakraborty, Pavel Bhowmik, Swagatam Das, Anisha Halder, Amit Konar, Atulya K. Nagar:
Correlation between stimulated emotion extracted from EEG and its Mainfestation on Facial Expression. SMC 2009: 3132-3137 - [c29]Siddharth Pal, Aniruddha Basak, Swagatam Das, Ajith Abraham:
Linear Antenna Array Synthesis with Invasive Weed Optimization Algorithm. SoCPaR 2009: 161-166 - [p6]Swagatam Das, Arijit Biswas, Sambarta Dasgupta, Ajith Abraham:
Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications. Foundations of Computational Intelligence (3) 2009: 23-55 - 2008
- [j4]Swagatam Das, Ajith Abraham, Amit Konar:
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm. Pattern Recognit. Lett. 29(5): 688-699 (2008) - [j3]Swagatam Das, Ajith Abraham, Amit Konar:
Automatic Clustering Using an Improved Differential Evolution Algorithm. IEEE Trans. Syst. Man Cybern. Part A 38(1): 218-237 (2008) - [c28]Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Ajith Abraham:
The population dynamics of Differential Evolution: A mathematical model. IEEE Congress on Evolutionary Computation 2008: 1439-1446 - [c27]Ajith Abraham, Arijit Biswas, Sambarta Dasgupta, Swagatam Das:
Analysis of reproduction operator in Bacterial Foraging Optimization Algorithm. IEEE Congress on Evolutionary Computation 2008: 1476-1483 - [c26]Swagatam Das, Sudeshna Sil, Uday Kumar Chakraborty:
Kernel-based clustering of image pixels with modified Differential Evolution. IEEE Congress on Evolutionary Computation 2008: 3472-3479 - [c25]Sambarta Dasgupta, Arijit Biswas, Ajith Abraham, Swagatam Das:
Adaptive Computational Chemotaxis in Bacterial Foraging Algorithm. CISIS 2008: 64-71 - [c24]Alakananda Bhattacharya, Amit Konar, Swagatam Das, Crina Grosan, Ajith Abraham:
Hardware Software Partitioning Problem in Embedded System Design Using Particle Swarm Optimization Algorithm. CISIS 2008: 171-176 - [c23]Ajith Abraham, Arijit Biswas, Swagatam Das, Sambarta Dasgupta:
Design of fractional order PIlambdaDµ controllers with an improved differential evolution. GECCO 2008: 1445-1452 - [c22]Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Ajith Abraham:
Automatic circle detection on images with an adaptive bacterial foraging algorithm. GECCO 2008: 1695-1696 - [c21]Swagatam Das, Sambarta Dasgupta, Arijit Biswas, Ajith Abraham:
Automatic Circle Detection on Images with Annealed Differential Evolution. HIS 2008: 684-689 - [c20]Arpan Mukhopadhyay, Anwit Roy, Sourav Das, Swagatam Das, Ajith Abraham:
Population-variance and explorative power of Harmony Search: An analysis. ICDIM 2008: 775-781 - [c19]Kaushik Suresh, Sayan Ghosh, Debarati Kundu, Abhirup Sen, Swagatam Das, Ajith Abraham:
Inertia-Adaptive Particle Swarm Optimizer for Improved Global Search. ISDA (2) 2008: 253-258 - [c18]Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swagatam Das, Ajith Abraham:
An Adaptive Particle Swarm Optimizer Using Balanced Explorative and Exploitative Behaviors. SYNASC 2008: 543-550 - [c17]Swagatam Das, Sambarta Dasgupta, Arijit Biswas, Ajith Abraham, Amit Konar:
Stability of the chemotactic dynamics in bacterial foraging optimization algorithm. CSTST 2008: 245-251 - [c16]Arijit Biswas, Swagatam Das, Sambarta Dasgupta, Ajith Abraham:
Stability analysis of the reproduction operator in bacterial foraging optimization. CSTST 2008: 564-571 - [p5]Arijit Biswas, Sambarta Dasgupta, Swagatam Das, Ajith Abraham:
Synergy of PSO and Bacterial Foraging Optimization - A Comparative Study on Numerical Benchmarks. Innovations in Hybrid Intelligent Systems 2008: 255-263 - [p4]Swagatam Das, Ajith Abraham, Amit Konar:
Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives. Advances of Computational Intelligence in Industrial Systems 2008: 1-38 - [p3]Swagatam Das, Ajith Abraham, Amit Konar:
Swarm Intelligence Algorithms in Bioinformatics. Computational Intelligence in Bioinformatics 2008: 113-147 - [p2]Ajith Abraham, Swagatam Das, Sandip Roy:
Swarm Intelligence Algorithms for Data Clustering. Soft Computing for Knowledge Discovery and Data Mining 2008: 279-313 - 2007
- [j2]Swagatam Das, Amit Konar:
A swarm intelligence approach to the synthesis of two-dimensional IIR filters. Eng. Appl. Artif. Intell. 20(8): 1086-1096 (2007) - [c15]Ajith Abraham, Amit Konar, Nayan R. Samal, Swagatam Das:
Stability analysis of the ant system dynamics with non-uniform pheromone deposition rules. IEEE Congress on Evolutionary Computation 2007: 1103-1108 - [c14]Nayan R. Samal, Amit Konar, Swagatam Das, Ajith Abraham:
A closed loop stability analysis and parameter selection of the Particle Swarm Optimization dynamics for faster convergence. IEEE Congress on Evolutionary Computation 2007: 1769-1776 - [c13]Swagatam Das, Amit Konar, Uday Kumar Chakraborty:
Annealed Differential Evolution. IEEE Congress on Evolutionary Computation 2007: 1926-1933 - [c12]Ajith Abraham, Swagatam Das, Amit Konar:
Kernel based automatic clustering using modified particle swarm optimization algorithm. GECCO 2007: 2-9 - [p1]Amit Konar, Swagatam Das:
An Introduction to Soft Computing. Analysis of Biological Data: A Soft Computing Approach 2007: 25-56 - 2006
- [j1]Swagatam Das, Amit Konar:
Two-Dimensional IIR Filter Design with Modern Search Heuristics: a Comparative Study. Int. J. Comput. Intell. Appl. 6(3): 329-355 (2006) - [c11]Ajith Abraham, Swagatam Das, Amit Konar:
Document Clustering Using Differential Evolution. IEEE Congress on Evolutionary Computation 2006: 1784-1791 - [c10]Swagatam Das, Amit Konar, Uday K. Chakraborty:
Automatic Fuzzy Segmentation of Images with Differential Evolution. IEEE Congress on Evolutionary Computation 2006: 2026-2033 - [c9]Uday K. Chakraborty, Swagatam Das, Amit Konar:
Differential Evolution with Local Neighborhood. IEEE Congress on Evolutionary Computation 2006: 2042-2049 - [c8]Swagatam Das, Ajith Abraham, Subir Kumar Sarkar:
A Hybrid Rough Set--Particle Swarm Algorithm for Image Pixel Classification. HIS 2006: 26 - [c7]Swagatam Das, Ajith Abraham, Amit Konar:
Spatial Information Based Image Segmentation Using a Modified Particle Swarm Optimization Algorithm. ISDA (2) 2006: 438-444 - 2005
- [c6]Swagatam Das, Amit Konar, Uday Kumar Chakraborty:
Improved differential evolution algorithms for handling noisy optimization problems. Congress on Evolutionary Computation 2005: 1691-1698 - [c5]Swagatam Das, Amit Konar, Uday Kumar Chakraborty:
Improving particle swarm optimization with differentially perturbed velocity. GECCO 2005: 177-184 - [c4]Swagatam Das, Amit Konar, Uday Kumar Chakraborty:
Two improved differential evolution schemes for faster global search. GECCO 2005: 991-998 - [c3]Swagatam Das, Amit Konar, Uday Kumar Chakraborty:
An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters. GECCO 2005: 2157-2163 - [c2]Swagatam Das, Debangshu Dey:
Design of Two-Dimensional IIR Filters Using an Improved DE Algorithm. PReMI 2005: 369-375 - [c1]Swagatam Das, Amit Konar:
An Improved Differential Evolution Scheme for Noisy Optimization Problems. PReMI 2005: 417-421
Coauthor Index
[j48] [j35] [j33] [j31] [j29] [j24] [c102] [c101] [c100] [c98] [c97] [c95] [c94] [c93] [c92] [c76] [j22] [j16] [j15] [c75] [c73] [c72] [c66] [c65] [c64] [c63] [c51] [c50] [c49] [c48] [p8] [p7] [b1] [j14] [j12] [j11] [j10] [j9] [j7] [j6] [j5] [c47] [c45] [c44] [c42] [c40] [c39] [c38] [c37] [c36] [c34] [c29] [p6] [j4] [j3] [c28] [c27] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [p5] [p4] [p3] [p2] [c15] [c14] [c12] [c11] [c8] [c7]
Rajasekhar Anguluri
aka: Anguluri Rajasekhar
aka: Anguluri Rajasekhar
Uday Kumar Chakraborty
aka: Uday K. Chakraborty
aka: Uday K. Chakraborty
Bijaya K. Panigrahi
aka: Bijaya Ketan Panigrahi
aka: Bijaya Ketan Panigrahi
Roni Sengupta
aka: Soumyadip Sengupta
aka: Soumyadip Sengupta
Ponnuthurai N. Suganthan
aka: Ponnuthurai Nagaratnam Suganthan
aka: Ponnuthurai Nagaratnam Suganthan
Athanasios V. Vasilakos
aka: Thanos Vasilakos
aka: Thanos Vasilakos
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