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2020 – today
- 2024
- [j31]Hu Peng
, Wenwen Xia, Zhongtian Luo
, Changshou Deng, Hui Wang
, Zhijian Wu:
A multimodal multi-objective differential evolution with series-parallel combination and dynamic neighbor strategy. Inf. Sci. 678: 120999 (2024) - 2023
- [j30]Yichen He, Hu Peng
, Changshou Deng, Xiwei Dong, Zhijian Wu, Zhaolu Guo:
Reference point reconstruction-based firefly algorithm for irregular multi-objective optimization. Appl. Intell. 53(1): 962-983 (2023) - [j29]Hu Peng
, Lin Li, Changrong Mei, Changshou Deng, Xuezhi Yue, Zhijian Wu:
Gene expression programming with dual strategies and neighborhood search for symbolic regression problems. Appl. Soft Comput. 145: 110616 (2023) - [j28]Yupeng Han, Hu Peng
, Changrong Mei, Lianglin Cao, Changshou Deng, Hui Wang
, Zhijian Wu:
Multi-strategy multi-objective differential evolutionary algorithm with reinforcement learning. Knowl. Based Syst. 277: 110801 (2023) - [j27]Zheng Wan, Xiaogang Dong
, Changshou Deng:
Optimizing computation offloading under heterogeneous delay requirements for wireless powered mobile edge computing. Wirel. Networks 29(4): 1577-1607 (2023) - [j26]Zheng Wan, Xiaogang Dong, Changshou Deng:
Correction to: Optimizing computation offloading under heterogeneous delay requirements for wireless powered mobile edge computing. Wirel. Networks 29(4): 1609-1610 (2023) - [c21]Leyong Hou, Debin Fan, Junjie Cheng, Honglian Wu, Hu Peng, Changshou Deng:
A multi-strategy particle swarm optimization framework based on deep reinforcement learning. ICACI 2023: 1-8 - 2022
- [c20]Xiaogang Dong, Zheng Wan, Changshou Deng:
Optimization of Wireless Power Transfer for Wireless-Powered Mobile Edge Computing. ICCCN 2022: 1-7 - 2021
- [j25]Changshou Deng, Xiaogang Dong
, Yucheng Tan, Hu Peng:
Enhanced Differential Evolution Algorithm with Local Search Based on Hadamard Matrix. Comput. Intell. Neurosci. 2021: 8930980:1-8930980:20 (2021) - [j24]Zhihui He, Hu Peng
, Jianqiang Chen, Changshou Deng, Zhijian Wu:
A Spark-based differential evolution with grouping topology model for large-scale global optimization. Clust. Comput. 24(1): 515-535 (2021) - [j23]Hu Peng, Wenhua Zhu, Changshou Deng
, Kun Yu, Zhijian Wu:
Composite firefly algorithm for breast cancer recognition. Concurr. Comput. Pract. Exp. 33(5) (2021) - [j22]Hu Peng
, Wenhua Zhu, Changshou Deng, Zhijian Wu:
Enhancing firefly algorithm with courtship learning. Inf. Sci. 543: 18-42 (2021) - [j21]Wenhua Zhu, Hu Peng, Chaohui Leng, Changshou Deng, Zhijian Wu:
Surrogate-assisted firefly algorithm for breast cancer detection. J. Intell. Fuzzy Syst. 40(5): 8915-8926 (2021) - [j20]Hu Peng
, Zhaogan Zeng, Changshou Deng, Zhijian Wu:
Multi-strategy serial cuckoo search algorithm for global optimization. Knowl. Based Syst. 214: 106729 (2021) - [j19]Hu Peng
, Yupeng Han, Changshou Deng, Jing Wang
, Zhijian Wu:
Multi-strategy co-evolutionary differential evolution for mixed-variable optimization. Knowl. Based Syst. 229: 107366 (2021) - [c19]Zheng Wan, Xiaogang Dong, Changshou Deng:
Deep Learning with Enhanced Convergence and Its Application in MEC Task Offloading. ICA3PP (2) 2021: 361-375 - [c18]Changshou Deng, Xiaogang Dong, Yucheng Tan, Hu Peng:
Variable Fragments Evolution in Differential Evolution. ICSI (1) 2021: 358-367 - 2020
- [j18]Jianan Liu, Hu Peng
, Zhijian Wu, Jianqiang Chen, Changshou Deng:
Multi-strategy brain storm optimization algorithm with dynamic parameters adjustment. Appl. Intell. 50(4): 1289-1315 (2020) - [j17]Zhiyang Xiang, Changshou Deng, Xueting Xiang, Mali Yu, Jing Xiong:
Semi-parametric training of autoencoders with Gaussian kernel smoothed topology learning neural networks. Neural Comput. Appl. 32(9): 4933-4950 (2020)
2010 – 2019
- 2019
- [j16]Hu Peng
, Yichen He, Changshou Deng, Zhijian Wu:
Firefly Algorithm With Luciferase Inhibition Mechanism. IEEE Access 7: 120189-120201 (2019) - [j15]Hu Peng, Changshou Deng, Shunxu Peng:
Inventory routing optimisation using differential evolution with feasibility checking and local search. Int. J. Intell. Inf. Database Syst. 12(1/2): 32-46 (2019) - [j14]Hu Peng, Changshou Deng, Zhijian Wu:
SPBSO: self-adaptive brain storm optimization algorithm with pbest guided step-size. J. Intell. Fuzzy Syst. 36(6): 5423-5434 (2019) - [j13]Hu Peng, Changshou Deng, Zhijian Wu:
Best neighbor-guided artificial bee colony algorithm for continuous optimization problems. Soft Comput. 23(18): 8723-8740 (2019) - [c17]Jianqiang Chen, Changshou Deng, Hu Peng, Yucheng Tan, Xinyu Zhou, Feng Wang:
Enhanced Brain Storm Optimization with Role-playing Strategy. CEC 2019: 1132-1139 - [c16]Fenqiang Li, Hu Peng, Changshou Deng, Yi Zeng, Yucheng Tan, Wenjun Wang:
Brain Storm Optimization Algorithm based on Competition Mechanism. CEC 2019: 1140-1147 - [c15]Zhihui He, Hu Peng, Changshou Deng, Yucheng Tan, Zhijian Wu, Shuangke Wu:
A Spark-based Gaussian Bare-bones Cuckoo Search with dynamic parameter selection. CEC 2019: 1220-1227 - 2018
- [j12]Hu Peng, Zhaolu Guo, Changshou Deng, Zhijian Wu:
Enhancing differential evolution with random neighbors based strategy. J. Comput. Sci. 26: 501-511 (2018) - [c14]Hu Peng, Changshou Deng, Hui Wang, Wenjun Wang, Xinyu Zhou, Zhijian Wu:
Gaussian bare-bones cuckoo search algorithm. GECCO (Companion) 2018: 93-94 - 2017
- [j11]Xiaogang Dong, Changshou Deng, Yucheng Tan:
Dynamic differential evolution with oppositional orthogonal crossover for large scale optimisation problems. Int. J. Comput. Sci. Math. 8(5): 414-424 (2017) - [j10]Hu Peng, Xujie Tan, Changshou Deng, Shunxu Peng:
SparkCUDE: a spark-based differential evolution for large-scale global optimisation. Int. J. High Perform. Syst. Archit. 7(4): 211-222 (2017) - 2016
- [j9]Zhaolu Guo, Shenwen Wang, Xuezhi Yue, Baoyong Yin, Changshou Deng, Zhijian Wu:
Enhanced social emotional optimisation algorithm with elite multi-parent crossover. Int. J. Comput. Sci. Math. 7(6): 568-574 (2016) - [j8]Zongmin Cui, Guangyong Gao, Caixue Zhou, Jing Yu, An-Yuan Deng, Changshou Deng:
Efficient key management for publish/subscribe system in cloud scenarios. Int. J. High Perform. Comput. Netw. 9(5/6): 489-498 (2016) - [j7]Xujie Tan, Changshou Deng, Xiaogang Dong, Sihao Yuan, Zhijian Wu, Hu Peng:
SparkDE: 一种基于RDD云计算模型的并行差分进化算法 (SparkDE: A Parallel Version of Differential Evolution Based on Resilient Distributed Datasets Model in Cloud Computing). 计算机科学 43(9): 116-119 (2016) - 2015
- [j6]Zhaolu Guo
, Haixia Huang, Changshou Deng, Xuezhi Yue, Zhijian Wu:
An Enhanced Differential Evolution with Elite Chaotic Local Search. Comput. Intell. Neurosci. 2015: 583759:1-583759:11 (2015) - [j5]Dang Cong Tran, Zhijian Wu, Changshou Deng:
An improved approach of particle swarm optimization and application in data clustering. Intell. Data Anal. 19(5): 1049-1070 (2015) - [j4]Zhaolu Guo, Xuezhi Yue, Kejun Zhang, Changshou Deng, Songhua Liu:
Enhanced social emotional optimisation algorithm with generalised opposition-based learning. Int. J. Comput. Sci. Math. 6(1): 59-68 (2015) - [j3]Xinyu Zhou, Zhijian Wu, Changshou Deng, Hu Peng:
Enhancing artificial bee colony algorithm with generalised opposition-based learning. Int. J. Comput. Sci. Math. 6(3): 297-309 (2015) - [j2]Changshou Deng, Yucheng Tan, Bingyan Zhao, Yanlin Yang, Yan Liu, Hu Peng:
Dual of DE: a new scheme of differential evolution algorithm. Int. J. Wirel. Mob. Comput. 8(4): 406-413 (2015) - [c13]Changshou Deng, Xujie Tan, Xiaogang Dong, Yucheng Tan:
A Parallel Version of Differential Evolution Based on Resilient Distributed Datasets Model. BIC-TA 2015: 84-93 - [c12]Zhong-Ping Zhang, Qian-Nan Jia, Changshou Deng:
Differential Evolution Algorithm Based on Classification and Cross-combination. FSDM 2015: 310-316 - [c11]Changshou Deng, Xiaogang Dong, Yanlin Yang, Yucheng Tan, Xujie Tan:
Differential Evolution with Novel Local Search Operation for Large Scale Optimization Problems. ICSI (1) 2015: 317-325 - 2014
- [c10]Huichao Liu, Zhijian Wu, Hui Wang, Shahryar Rahnamayan, Changshou Deng:
Improved differential evolution with adaptive opposition strategy. IEEE Congress on Evolutionary Computation 2014: 1776-1783 - [c9]Huichao Liu, Zhijian Wu, Huanzhe Li, Hui Wang, Shahryar Rahnamayan, Changshou Deng:
Rotation-Based Learning: A Novel Extension of Opposition-Based Learning. PRICAI 2014: 511-522 - 2012
- [c8]Bingyan Zhao, Changshou Deng, Yanling Yang, Hu Peng:
Novel Binary Biogeography-Based Optimization Algorithm for the Knapsack Problem. ICSI (1) 2012: 217-224 - 2011
- [j1]Changshou Deng, Chang-Yong Liang, Bingyan Zhao, Yanling Yang, An-Yuan Deng:
Structure-Encoding Differential Evolution for Integer Programming. J. Softw. 6(1): 140-147 (2011) - [c7]Changshou Deng, Bingyan Zhao, Yanling Yang, Hu Peng, Qiming Wei:
Novel Binary Encoding Differential Evolution Algorithm. ICSI (1) 2011: 416-423 - 2010
- [c6]Changshou Deng, Bingyan Zhao, Yanling Yang, Anyuan Deng:
Novel binary Differential Evolution without scale factor F. IWACI 2010: 250-253 - [c5]Changshou Deng, Bingyan Zhao, An-Yuan Deng, Rixin Hu:
Differential Evolution with dual population for static Weapon-Target assignment problem. ICNC 2010: 3910-3913 - [c4]Changshou Deng, Bingyan Zhao, Yanling Yang, An-Yuan Deng:
Hybrid Differential Evolution for Knapsack Problem. ICSI (1) 2010: 505-512
2000 – 2009
- 2009
- [c3]Changshou Deng, Bingyan Zhao, Yanling Yang, An-Yuan Deng:
Novel Binary Differential Evolution Algorithm for Discrete Optimization. ICNC (4) 2009: 346-349 - 2008
- [c2]Changshou Deng, Bingyan Zhao, An-Yuan Deng, Chang-Yong Liang:
Hybrid-Coding Binary Differential Evolution Algorithm with Application to 0-1 Knapsack Problems. CSSE (1) 2008: 317-320 - 2004
- [c1]Changshou Deng, Pie Zheng, Yanling Yang, Bingyan Zhao:
Markov Chain-based Clustering Analysis of Customers and WebPages. ICEB 2004: 309-313
Coauthor Index
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last updated on 2024-08-23 18:36 CEST by the dblp team
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