A New Vector Particle Swarm Optimization for Constrained Optimization Problems. - Chao-Li Sun; Jianchao Zeng 001; Jeng-Shyang Pan 001 (CSO (1), 2009)

A Particle Swarm Optimization with Feasibility-Based Rules for Mixed-Variable Optimization Problems. - Chao-Li Sun; Jianchao Zeng 001; Jeng-Shyang Pan 001 (HIS (1), 2009)

An Improved Particle Swarm Optimization with Feasibility-Based Rules for Constrained Optimization Problems. - Chao-Li Sun; Jianchao Zeng 001; Jeng-Shyang Pan 001 (IEA/AIE, 2009)

Solving Constrained Optimization Problems by an Improved Particle Swarm Optimization. - Chaoli Sun; Jianchao Zeng 001; Shu-Chuan Chu; John F. Roddick; Jeng-Shyang Pan 001 (IBICA, 2011)

PSO with Constraint-Preserving Mechanism for Mixed-Variable Optimization Problems. - Chaoli Sun; Jianchao Zeng 001; Jeng-Shyang Pan 001; Yunqiang Zhang (RVSP, 2011)

An improved vector particle swarm optimization for constrained optimization problems. - Chao-Li Sun; Jianchao Zeng 001; Jeng-Shyang Pan 001 (Inf. Sci., 2011)

The Structure Optimization of Main Beam for Bridge Crane Based on An Improved PSO. - Chaoli Sun; Ying Tan 003; Jianchao Zeng 001; Jeng-Shyang Pan 001; Yuanfang Tao (J. Comput., 2011)

A multi-swarm evolutionary framework based on a feedback mechanism. - Ran Cheng; Chaoli Sun; Yaochu Jin (IEEE Congress on Evolutionary Computation, 2013)

Similarity-based evolution control for fitness estimation in particle swarm optimization. - Chaoli Sun; Jianchao Zeng 001; Jeng-Shyang Pan 001; Yaochu Jin (CIDUE, 2013)

A new fitness estimation strategy for particle swarm optimization. - Chaoli Sun; Jianchao Zeng 001; Jeng-Shyang Pan 001; Songdong Xue; Yaochu Jin (Inf. Sci., 2013)

Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems. - Tong Liu; Chaoli Sun; Jianchao Zeng 001; Songdong Xue; Yaochu Jin (IEEE Congress on Evolutionary Computation, 2014)

A two-layer surrogate-assisted particle swarm optimization algorithm. - Chaoli Sun; Yaochu Jin; Jianchao Zeng 001; Yang Yu 001 (Soft Comput., 2015)

Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems. - Chao-Li Sun; Yaochu Jin; Jinliang Ding; Jianchao Zeng 001 (GECCO (Companion), 2016)

A self-adaptive similarity-based fitness approximation for evolutionary optimization. - Jie Tian 004; Yin Tan; Chao-Li Sun; Jianchao Zeng 001; Yaochu Jin (SSCI, 2016)

An adaptive model selection strategy for surrogate-assisted particle swarm optimization algorithm. - Haibo Yu; Yin Tan; Chao-Li Sun; Jianchao Zeng 001; Yaochu Jin (SSCI, 2016)

Clustering-based evolution control for surrogate-assisted particle swarm optimization. - Haibo Yu; Ying Tan 003; Chao-Li Sun; Jianchao Zeng 001 (CEC, 2017)

Single channel blind source separation using optimized local mean decomposition. - Yina Guo; Xiaowen Ren; Chaoli Sun; Wenyan Tian (ICNC-FSKD, 2017)

Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization. - Jie Tian 004; Chaoli Sun; Jianchao Zeng 001; Haibo Yu; Ying Tan 003; Yaochu Jin (SSCI, 2017)

Optimized phase-space reconstruction for accurate musical-instrument signal classification. - Yina Guo; Qijia Liu; Anhong Wang; Chaoli Sun; Wenyan Tian; Ganesh R. Naik; Ajith Abraham (Multim. Tools Appl., 2017)

Bio-inspired self-organising multi-robot pattern formation: A review. - Hyondong Oh; Ataollah Ramezan Shirazi; Chaoli Sun; Yaochu Jin (Robotics Auton. Syst., 2017)

Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems. - Chaoli Sun; Yaochu Jin; Ran Cheng; Jinliang Ding; Jianchao Zeng 001 (IEEE Trans. Evol. Comput., 2017)

Semi-supervised learning assisted particle swarm optimization of computationally expensive problems. - Chaoli Sun; Yaochu Jin; Ying Tan 003 (GECCO, 2018)

Surrogate-assisted hierarchical particle swarm optimization. - Haibo Yu; Ying Tan 003; Jianchao Zeng 001; Chaoli Sun; Yaochu Jin (Inf. Sci., 2018)

A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems. - Chaoli Sun; Jinliang Ding; Jianchao Zeng 001; Yaochu Jin (Memetic Comput., 2018)

Adaptive Information Granulation in Fitness Estimation for Evolutionary Optimization. - Jie Tian 004; Jianchao Zeng 001; Ying Tan 003; Chaoli Sun (Wirel. Pers. Commun., 2018)

A New Selection Strategy for Decomposition-based Evolutionary Many-Objective Optimization. - Shufen Qin; Chaoli Sun; Yaochu Jin; Lier Lan; Ying Tan 003 (CEC, 2019)

A Multi-indicator based Selection Strategy for Evolutionary Many-objective Optimization. - Hao Wang; Chaoli Sun; Yaochu Jin; Shufen Qin; Haibo Yu (CEC, 2019)

Bayesian Approaches to Surrogate-Assisted Evolutionary Multi-objective Optimization: A Comparative Study. - Shufen Qin; Chaoli Sun; Yaochu Jin; Guochen Zhang (SSCI, 2019)

A modified extended particle swarm optimisation algorithm to solve the directing orbits of chaotic systems. - Simin Mo; Jianchao Zeng 001; Weibin Xu; Chaoli Sun (Int. J. Inf. Commun. Technol., 2019)

A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization. - Haibo Yu; Ying Tan 003; Chaoli Sun; Jianchao Zeng 001 (Knowl. Based Syst., 2019)

A comparison of quality measures for model selection in surrogate-assisted evolutionary algorithm. - Haibo Yu; Ying Tan 003; Chaoli Sun; Jianchao Zeng 001 (Soft Comput., 2019)

Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems. - Jie Tian 004; Ying Tan 003; Jianchao Zeng 001; Chaoli Sun; Yaochu Jin (IEEE Trans. Evol. Comput., 2019)

Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles. - Handing Wang; Yaochu Jin; Chaoli Sun; John Doherty (IEEE Trans. Evol. Comput., 2019)

Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization. - Chaoli Sun; Handing Wang; Wenli Du; Yaochu Jin (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems. - Guoxia Fu; Chaoli Sun; Ying Tan 003; Guochen Zhang; Yaochu Jin (PPSN (1), 2020)

Truncation-learning-driven surrogate assisted social learning particle swarm optimization for computationally expensive problem. - Haibo Yu; Li Kang; Ying Tan 003; Chaoli Sun; Jianchao Zeng 001 (Appl. Soft Comput., 2020)

Multi-surrogate multi-tasking optimization of expensive problems. - Peng Liao; Chaoli Sun; Guochen Zhang; Yaochu Jin (Knowl. Based Syst., 2020)

An efficient surrogate-assisted quasi-affine transformation evolutionary algorithm for expensive optimization problems. - Nengxian Liu; Jeng-Shyang Pan 001; Chaoli Sun; Shu-Chuan Chu (Knowl. Based Syst., 2020)

Granularity-based surrogate-assisted particle swarm optimization for high-dimensional expensive optimization. - Jie Tian 004; Chaoli Sun; Ying Tan 003; Jianchao Zeng 001 (Knowl. Based Syst., 2020)

Surrogate-Assisted Evolutionary Optimization of Large Problems. - Tinkle Chugh; Chaoli Sun; Handing Wang; Yaochu Jin (High-Performance Simulation-Based Optimization, 2020)

Non-dominated sorting on performance indicators for evolutionary many-objective optimization. - Hao Wang; Chaoli Sun; Guochen Zhang; Jonathan E. Fieldsend; Yaochu Jin (Inf. Sci., 2021)

A surrogate-ensemble assisted expensive many-objective optimization. - Yi Zhao; Chaoli Sun; Jianchao Zeng 001; Ying Tan 003; Guochen Zhang (Knowl. Based Syst., 2021)

Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling. - Shufen Qin; Chaoli Sun; Yaochu Jin; Ying Tan 003; Jonathan E. Fieldsend (IEEE Trans. Evol. Comput., 2021)

Multi-surrogate assisted binary particle swarm optimization algorithm and its application for feature selection. - Pei Hu 001; Jeng-Shyang Pan 001; Shu-Chuan Chu; Chaoli Sun (Appl. Soft Comput., 2022)

Large-Scale Expensive Optimization with a Switching Strategy. - Mai Sun; Chaoli Sun; Xiaobo Li; Guochen Zhang; Farooq Akhtar (Complex Syst. Model. Simul., 2022)

Surrogate ensemble assisted large-scale expensive optimization with random grouping. - Mai Sun; Chaoli Sun; Xiaobo Li; Guochen Zhang; Farooq Akhtar (Inf. Sci., 2022)

A New Infill Criterion Based on Sorting of Approximation Uncertainty for Expensive Evolutionary Many-objective Optimization. - Xiaotong Liu; Chaoli Sun; Hao Wang (CEC, 2023)

Particle Swarm Optimization with Ring Topology for Multi-modal Multi-objective Problems. - Youwei Sun; Chaoli Sun (GECCO, 2023)

Personalized Federated Learning for Heterogeneous Residential Load Forecasting. - Xiaodong Qu; Chengcheng Guan; Gang Xie 001; Zhiyi Tian; Keshav Sood; Chaoli Sun; Lei Cui 006 (Big Data Min. Anal., 2023)

A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization. - Shufen Qin; Chaoli Sun; Qiqi Liu; Yaochu Jin (IEEE Trans. Evol. Comput., 2023)

A performance approximation assisted expensive many-objective evolutionary algorithm. - Hao Wang; Chaoli Sun; Gang Xie 001; Xiao-Zhi Gao 001; Farooq Akhtar (Inf. Sci., 2023)

Expensive Many-objective Optimization Assisted by Adaptive Modeling. - Shufen Qin; Chaoli Sun; Zongchao Xie (CEC, 2024)

Surrogate Assisted Large-Scale Expensive Optimization With Difference-Based Infill Criterion. - Lu Wang; Chaoli Sun; Guochen Zhang; Kaili Zhao; Hui Shi; Zongchao Xie (CEC, 2024)

Surrogate-Assisted Particle Swarm Optimization with Dual-Subspace Search for Large-Scale Expensive Optimization. - Jiajia Zhang; Chaoli Sun; Guochen Zhang; Jing Li; Hui Shi; Zongchao Xie (CEC, 2024)

PFed-ME: Personalized Federated Learning Based on Model Enhancement. - Xinying Ji; Jie Tian 004; Chaoli Sun; Meijia Zhang (ICIC (LNAI 6), 2024)

An Expensive Multi-objective Optimization Algorithm Based on Regional Density Ratio. - Zijian Jiang; Chaoli Sun; Xiaotong Liu; Jing Li; Kexin Wang (ICSI (1), 2024)

A Multi-modal Multi-objective Evolutionary Algorithm Based on Multi-criteria Grouping. - Xiaoxiong Wang; Guochen Zhang; Chaoli Sun; Hao Wang; Kaili Zhao (ICSI (1), 2024)

A multi-layer mesh synchronized reversible data hiding algorithm on the 3D model. - Guoyou Zhang; Zheyu Sui; Chaoli Sun; Qi Liu; Xiaoxue Cheng (Multim. Syst., 2024)

Expensive many-objective evolutionary optimization guided by two individual infill criteria. - Shufen Qin; Chaoli Sun; Farooq Akhtar; Gang Xie 001 (Memetic Comput., 2024)

Enhancing surrogate-assisted evolutionary optimization for medium-scale expensive problems: a two-stage approach with unsupervised feature learning and Q-learning. - Yiyun Gong; Haibo Yu; Li Kang; Chaoli Sun; Jianchao Zeng 001 (Neural Comput. Appl., 2024)

A Preference-Guided Multi-Objective Recommendation Algorithm with an Adaptive Tchebycheff Environmental Selection. - Xiaoge Li; Xiaotong Liu; Chaoli Sun (CEC, 2025)

Surrogate-Assisted Evolutionary Neural Architecture Search with Architecture Knowledge Transfer. - Peng Liao; Xilu Wang 001; Yaochu Jin; Chaoli Sun; Wenli Du (CEC, 2025)

A Many-objective Hybrid Recommendation Algorithm Based on User Grouping. - Lin Tang; Guochen Zhang; Chaoli Sun (CEC, 2025)

A Large-Scale Expensive Multi-Objective Optimization Algorithm Assisted By Multiple Subproblems Collaboration. - Yanke Zhang; Xiaotong Liu; Ying Tan 003; Chaoli Sun (CEC, 2025)

A surrogate-assisted evolutionary algorithm with solution sets classification based on inter-dimensional correlation and its applications. - Rui Zhang 082; Zehua Dong; Chaoli Sun; Yanjun Zhang; Xiaolu Bai (Expert Syst. Appl., 2025)

Heterogeneous approximation-assisted search for expensive multi-objective optimization. - Shufen Qin; Chaoli Sun (Swarm Evol. Comput., 2025)

Efficient configuration of high-dimensional hyperparameters in deep convolutional neural networks for classification assisted by surrogate models. - Rui Zhang 082; Yuanyuan Zhang; Chaoli Sun; Yanjun Zhang; Zehua Dong; Xiaobing Wang (Swarm Evol. Comput., 2025)

Time-Varying Nonparametric Remaining Useful Life of Systems Based on Adaptive Kernel Auxiliary Particle Filter. - Hui Shi; Yaqin Liang; Bin Wu; Xiaohong Zhang 003; Zuolu Wang; Chaoli Sun (IEEE Trans. Instrum. Meas., 2025)