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2020 – today
- 2024
[j32]Shufen Qin, Chaoli Sun, Farooq Akhtar
, Gang Xie:
Expensive many-objective evolutionary optimization guided by two individual infill criteria. Memetic Comput. 16(1): 55-69 (2024)- [j31]Guoyou Zhang, Zheyu Sui, Chaoli Sun, Qi Liu, Xiaoxue Cheng:
A multi-layer mesh synchronized reversible data hiding algorithm on the 3D model. Multim. Syst. 30(1): 52 (2024) - [j30]Yiyun Gong, Haibo Yu, Li Kang, Chaoli Sun, Jianchao Zeng:
Enhancing surrogate-assisted evolutionary optimization for medium-scale expensive problems: a two-stage approach with unsupervised feature learning and Q-learning. Neural Comput. Appl. 36(25): 15545-15565 (2024) - [c27]Shufen Qin, Chaoli Sun, Zongchao Xie:
Expensive Many-objective Optimization Assisted by Adaptive Modeling. CEC 2024: 1-8 - [c26]Lu Wang, Chaoli Sun, Guochen Zhang, Kaili Zhao, Hui Shi, Zongchao Xie:
Surrogate Assisted Large-Scale Expensive Optimization With Difference-Based Infill Criterion. CEC 2024: 1-8 - [c25]Jiajia Zhang, Chaoli Sun, Guochen Zhang, Jing Li, Hui Shi, Zongchao Xie:
Surrogate-Assisted Particle Swarm Optimization with Dual-Subspace Search for Large-Scale Expensive Optimization. CEC 2024: 1-9 - [c24]Xinying Ji, Jie Tian, Chaoli Sun, Meijia Zhang:
PFed-ME: Personalized Federated Learning Based on Model Enhancement. ICIC (LNAI 6) 2024: 263-274 - [c23]Xiaoxiong Wang, Guochen Zhang, Chaoli Sun, Hao Wang, Kaili Zhao:
A Multi-modal Multi-objective Evolutionary Algorithm Based on Multi-criteria Grouping. ICSI (1) 2024: 265-276 - [c22]Zijian Jiang, Chaoli Sun, Xiaotong Liu, Jing Li, Kexin Wang:
An Expensive Multi-objective Optimization Algorithm Based on Regional Density Ratio. ICSI (1) 2024: 418-429 - 2023
- [j29]Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui:
Personalized Federated Learning for Heterogeneous Residential Load Forecasting. Big Data Min. Anal. 6(4): 421-432 (2023) - [j28]Hao Wang, Chaoli Sun, Gang Xie, Xiao-Zhi Gao, Farooq Akhtar:
A performance approximation assisted expensive many-objective evolutionary algorithm. Inf. Sci. 625: 20-35 (2023) - [j27]Shufen Qin, Chaoli Sun, Qiqi Liu, Yaochu Jin:
A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization. IEEE Trans. Evol. Comput. 27(4): 1085-1099 (2023) - [c21]Xiaotong Liu, Chaoli Sun, Hao Wang:
A New Infill Criterion Based on Sorting of Approximation Uncertainty for Expensive Evolutionary Many-objective Optimization. CEC 2023: 1-8 - [c20]Youwei Sun, Chaoli Sun:
Particle Swarm Optimization with Ring Topology for Multi-modal Multi-objective Problems. GECCO 2023: 93-101 - 2022
- [j26]Pei Hu, Jeng-Shyang Pan, Shu-Chuan Chu, Chaoli Sun:
Multi-surrogate assisted binary particle swarm optimization algorithm and its application for feature selection. Appl. Soft Comput. 121: 108736 (2022) - [j25]Mai Sun, Chaoli Sun, Xiaobo Li, Guochen Zhang, Farooq Akhtar:
Large-Scale Expensive Optimization with a Switching Strategy. Complex Syst. Model. Simul. 2(3): 253-263 (2022) - [j24]Mai Sun, Chaoli Sun, Xiaobo Li, Guochen Zhang, Farooq Akhtar:
Surrogate ensemble assisted large-scale expensive optimization with random grouping. Inf. Sci. 615: 226-237 (2022) - 2021
- [j23]Hao Wang, Chaoli Sun, Guochen Zhang, Jonathan E. Fieldsend, Yaochu Jin:
Non-dominated sorting on performance indicators for evolutionary many-objective optimization. Inf. Sci. 551: 23-38 (2021) - [j22]Yi Zhao, Chaoli Sun, Jianchao Zeng, Ying Tan, Guochen Zhang:
A surrogate-ensemble assisted expensive many-objective optimization. Knowl. Based Syst. 211: 106520 (2021) - [j21]Shufen Qin, Chaoli Sun, Yaochu Jin, Ying Tan, Jonathan E. Fieldsend:
Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling. IEEE Trans. Evol. Comput. 25(4): 724-738 (2021) - 2020
- [j20]Haibo Yu, Li Kang, Ying Tan, Chaoli Sun, Jianchao Zeng:
Truncation-learning-driven surrogate assisted social learning particle swarm optimization for computationally expensive problem. Appl. Soft Comput. 97(Part): 106812 (2020) - [j19]Jie Tian, Chaoli Sun, Ying Tan, Jianchao Zeng:
Granularity-based surrogate-assisted particle swarm optimization for high-dimensional expensive optimization. Knowl. Based Syst. 187 (2020) - [j18]Peng Liao, Chaoli Sun, Guochen Zhang, Yaochu Jin:
Multi-surrogate multi-tasking optimization of expensive problems. Knowl. Based Syst. 205: 106262 (2020) - [j17]Nengxian Liu, Jeng-Shyang Pan, Chaoli Sun, Shu-Chuan Chu:
An efficient surrogate-assisted quasi-affine transformation evolutionary algorithm for expensive optimization problems. Knowl. Based Syst. 209: 106418 (2020) - [c19]Guoxia Fu, Chaoli Sun, Ying Tan, Guochen Zhang, Yaochu Jin:
A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems. PPSN (1) 2020: 125-139 - [p1]Tinkle Chugh, Chaoli Sun, Handing Wang, Yaochu Jin:
Surrogate-Assisted Evolutionary Optimization of Large Problems. High-Performance Simulation-Based Optimization 2020: 165-187
2010 – 2019
- 2019
- [j16]Simin Mo, Jianchao Zeng, Weibin Xu, Chaoli Sun:
A modified extended particle swarm optimisation algorithm to solve the directing orbits of chaotic systems. Int. J. Inf. Commun. Technol. 14(1): 16-30 (2019) - [j15]Haibo Yu, Ying Tan, Chaoli Sun, Jianchao Zeng:
A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization. Knowl. Based Syst. 163: 14-25 (2019) - [j14]Haibo Yu, Ying Tan, Chaoli Sun, Jianchao Zeng:
A comparison of quality measures for model selection in surrogate-assisted evolutionary algorithm. Soft Comput. 23(23): 12417-12436 (2019) - [j13]Handing Wang, Yaochu Jin, Chaoli Sun, John Doherty:
Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles. IEEE Trans. Evol. Comput. 23(2): 203-216 (2019) - [j12]Jie Tian, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin:
Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems. IEEE Trans. Evol. Comput. 23(3): 459-472 (2019) - [j11]Chaoli Sun, Handing Wang, Wenli Du, Yaochu Jin:
Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 3(2): 90-92 (2019) - [c18]Hao Wang, Chaoli Sun, Yaochu Jin, Shufen Qin, Haibo Yu:
A Multi-indicator based Selection Strategy for Evolutionary Many-objective Optimization. CEC 2019: 2042-2049 - [c17]Shufen Qin, Chaoli Sun, Yaochu Jin, Lier Lan, Ying Tan:
A New Selection Strategy for Decomposition-based Evolutionary Many-Objective Optimization. CEC 2019: 2426-2433 - [c16]Shufen Qin, Chaoli Sun, Yaochu Jin, Guochen Zhang:
Bayesian Approaches to Surrogate-Assisted Evolutionary Multi-objective Optimization: A Comparative Study. SSCI 2019: 2074-2080 - 2018
- [j10]Haibo Yu, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin:
Surrogate-assisted hierarchical particle swarm optimization. Inf. Sci. 454-455: 59-72 (2018) - [j9]Chaoli Sun, Jinliang Ding, Jianchao Zeng, Yaochu Jin:
A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems. Memetic Comput. 10(2): 123-134 (2018) - [j8]Jie Tian, Jianchao Zeng, Ying Tan, Chaoli Sun:
Adaptive Information Granulation in Fitness Estimation for Evolutionary Optimization. Wirel. Pers. Commun. 103(1): 741-759 (2018) - [c15]Chaoli Sun, Yaochu Jin, Ying Tan:
Semi-supervised learning assisted particle swarm optimization of computationally expensive problems. GECCO 2018: 45-52 - 2017
- [j7]Yina Guo, Qijia Liu, Anhong Wang, Chaoli Sun, Wenyan Tian, Ganesh R. Naik, Ajith Abraham:
Optimized phase-space reconstruction for accurate musical-instrument signal classification. Multim. Tools Appl. 76(20): 20719-20737 (2017) - [j6]Hyondong Oh, Ataollah Ramezan Shirazi, Chaoli Sun, Yaochu Jin:
Bio-inspired self-organising multi-robot pattern formation: A review. Robotics Auton. Syst. 91: 83-100 (2017) - [j5]Chaoli Sun, Yaochu Jin, Ran Cheng, Jinliang Ding, Jianchao Zeng:
Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems. IEEE Trans. Evol. Comput. 21(4): 644-660 (2017) - [c14]Haibo Yu, Ying Tan, Chao-Li Sun, Jianchao Zeng:
Clustering-based evolution control for surrogate-assisted particle swarm optimization. CEC 2017: 503-508 - [c13]Yina Guo, Xiaowen Ren, Chaoli Sun, Wenyan Tian:
Single channel blind source separation using optimized local mean decomposition. ICNC-FSKD 2017: 2743-2748 - [c12]Jie Tian, Chaoli Sun, Jianchao Zeng, Haibo Yu, Ying Tan, Yaochu Jin:
Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization. SSCI 2017: 1-8 - 2016
- [c11]Chao-Li Sun, Yaochu Jin, Jinliang Ding, Jianchao Zeng:
Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems. GECCO (Companion) 2016: 1277-1278 - [c10]Jie Tian, Yin Tan, Chao-Li Sun, Jianchao Zeng, Yaochu Jin:
A self-adaptive similarity-based fitness approximation for evolutionary optimization. SSCI 2016: 1-8 - [c9]Haibo Yu, Yin Tan, Chao-Li Sun, Jianchao Zeng, Yaochu Jin:
An adaptive model selection strategy for surrogate-assisted particle swarm optimization algorithm. SSCI 2016: 1-8 - 2015
- [j4]Chaoli Sun, Yaochu Jin, Jianchao Zeng, Yang Yu:
A two-layer surrogate-assisted particle swarm optimization algorithm. Soft Comput. 19(6): 1461-1475 (2015) - 2014
- [c8]Tong Liu, Chaoli Sun, Jianchao Zeng, Songdong Xue, Yaochu Jin:
Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems. IEEE Congress on Evolutionary Computation 2014: 640-646 - 2013
- [j3]Chaoli Sun, Jianchao Zeng, Jeng-Shyang Pan, Songdong Xue, Yaochu Jin:
A new fitness estimation strategy for particle swarm optimization. Inf. Sci. 221: 355-370 (2013) - [c7]Ran Cheng, Chaoli Sun, Yaochu Jin:
A multi-swarm evolutionary framework based on a feedback mechanism. IEEE Congress on Evolutionary Computation 2013: 718-724 - [c6]Chaoli Sun, Jianchao Zeng, Jeng-Shyang Pan, Yaochu Jin:
Similarity-based evolution control for fitness estimation in particle swarm optimization. CIDUE 2013: 1-8 - 2011
- [j2]Chao-Li Sun, Jianchao Zeng, Jeng-Shyang Pan:
An improved vector particle swarm optimization for constrained optimization problems. Inf. Sci. 181(6): 1153-1163 (2011) - [j1]Chaoli Sun, Ying Tan, Jianchao Zeng, Jeng-Shyang Pan, Yuanfang Tao:
The Structure Optimization of Main Beam for Bridge Crane Based on An Improved PSO. J. Comput. 6(8): 1585-1590 (2011) - [c5]Chaoli Sun, Jianchao Zeng, Shu-Chuan Chu, John F. Roddick, Jeng-Shyang Pan:
Solving Constrained Optimization Problems by an Improved Particle Swarm Optimization. IBICA 2011: 124-128 - [c4]Chaoli Sun, Jianchao Zeng, Jeng-Shyang Pan, Yunqiang Zhang:
PSO with Constraint-Preserving Mechanism for Mixed-Variable Optimization Problems. RVSP 2011: 149-153
2000 – 2009
- 2009
- [c3]Chao-Li Sun, Jianchao Zeng, Jeng-Shyang Pan:
A New Vector Particle Swarm Optimization for Constrained Optimization Problems. CSO (1) 2009: 485-488 - [c2]Chao-Li Sun, Jianchao Zeng, Jeng-Shyang Pan:
A Particle Swarm Optimization with Feasibility-Based Rules for Mixed-Variable Optimization Problems. HIS (1) 2009: 543-547 - [c1]Chao-Li Sun, Jianchao Zeng, Jeng-Shyang Pan:
An Improved Particle Swarm Optimization with Feasibility-Based Rules for Constrained Optimization Problems. IEA/AIE 2009: 202-211
Coauthor Index
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