An improved Covariance Matrix Leaning and Searching Preference algorithm for solving CEC 2015 benchmark problems. - Lei Chen 044; Chaoda Peng; Hai-Lin Liu 001; Shengli Xie (CEC, 2015)

Solving constrained optimization using decomposition-based EMO algorithm. - Chaoda Peng; Hai-Lin Liu 001; Fangqing Gu (IJCNN, 2016)

A Decomposition-Based Constraint-Handling Technique for Constrained Multi-objective Optimization. - Chaoda Peng; Hai-Lin Liu 001 (WI Workshops, 2016)

A Constrained Multi-Objective Evolutionary Algorithm Based on Boundary Search and Archive. - Hai-Lin Liu 001; Chaoda Peng; Fangqing Gu; Jiechang Wen (Int. J. Pattern Recognit. Artif. Intell., 2016)

The Effect of Feasible Region on Imbalanced Problem in Constrained Multi-objective Optimization. - Jiabin Lin; Hai-Lin Liu 001; Chaoda Peng (CIS, 2017)

An evolutionary algorithm with directed weights for constrained multi-objective optimization. - Chaoda Peng; Hai-Lin Liu 001; Fangqing Gu (Appl. Soft Comput., 2017)

Population Decomposition-Based Greedy Approach Algorithm for the Multi-Objective Knapsack Problems. - Jiawei Yuan; Hai-Lin Liu 001; Chaoda Peng (Int. J. Pattern Recognit. Artif. Intell., 2017)

A novel constraint-handling technique based on dynamic weights for constrained optimization problems. - Chaoda Peng; Hai-Lin Liu 001; Fangqing Gu (Soft Comput., 2018)

Investigating the Performance of Evolutionary Algorithms on Constrained Multi-objective Optimization Problems with Deceptive Infeasible Regions. - Chaoda Peng; Hai-Lin Liu 001; Erik D. Goodman (SSCI, 2019)

Handling multi-objective optimization problems with unbalanced constraints and their effects on evolutionary algorithm performance. - Chaoda Peng; Hai-Lin Liu 001; Erik D. Goodman (Swarm Evol. Comput., 2020)

A Cooperative Evolutionary Framework Based on an Improved Version of Directed Weight Vectors for Constrained Multiobjective Optimization With Deceptive Constraints. - Chaoda Peng; Hai-Lin Liu 001; Erik D. Goodman (IEEE Trans. Cybern., 2021)

A decomposition-based constrained multi-objective evolutionary algorithm with a local infeasibility utilization mechanism for UAV path planning. - Chaoda Peng; Shaojian Qiu (Appl. Soft Comput., 2022)

A two-phase framework of locating the reference point for decomposition-based constrained multi-objective evolutionary algorithms. - Chaoda Peng; Hai-Lin Liu 001; Erik D. Goodman; Kay Chen Tan (Knowl. Based Syst., 2022)

Constrained Multi-Objective Optimization for UAV-Enabled Mobile Edge Computing: Offloading Optimization and Path Planning. - Chaoda Peng; Xumin Huang; Yuan Wu 001; Jiawen Kang 001 (IEEE Wirel. Commun. Lett., 2022)

Joint Interdependent Task Scheduling and Energy Balancing for Multi-UAV-Enabled Aerial Edge Computing: A Multiobjective Optimization Approach. - Xumin Huang; Chaoda Peng; Yuan Wu 001; Jiawen Kang 001; Weifeng Zhong; Dong In Kim; Long Qi (IEEE Internet Things J., 2023)

An Evolutionary Algorithm with Feasibility Tracking Strategy for Constrained Multi-Objective Optimization Problems. - Lei Yang 040; Jinglin Tian; Jiale Cao; Kangshun Li; Chaoda Peng (CEC, 2024)

A novel multi-objective evolutionary algorithm with a two-fold constraint-handling mechanism for multiple UAV path planning. - Wenhui Zhang; Chaoda Peng; Yuan Yuan; Jinrong Cui; Long Qi (Expert Syst. Appl., 2024)

Joint Energy and Completion Time Difference Minimization for UAV-Enabled Intelligent Transportation Systems: A Constrained Multi-Objective Optimization Approach. - Chaoda Peng; Zexiong Wu; Xumin Huang; Yuan Wu 001; Jiawen Kang 001; Qiong Huang 001; Shengli Xie (IEEE Trans. Intell. Transp. Syst., 2024)

Code Multiview Hypergraph Representation Learning for Software Defect Prediction. - Shaojian Qiu; Mengyang Huang; Yun Liang 003; Chaoda Peng; Yuan Yuan 004 (IEEE Trans. Reliab., 2024)

Unsupervised feature selection with evolutionary sparsity. - Shixuan Zhou; Yi Xiang; Han Huang 002; Pei Huang 019; Chaoda Peng; Xiaowei Yang 003; Peng Song (Neural Networks, 2025)

A Tractive Population-Assisted Dual-Population and Two-Phase Evolutionary Algorithm for Constrained Multiobjective Optimization. - Shumin Xie; Kangshun Li; Wenxiang Wang; Hui Wang 033; Chaoda Peng; Hassan Jalil (IEEE Trans. Evol. Comput., 2025)

Dynamic Client Selection for Over-the-Air Federated Learning Network. - Fang Shi; Weiwei Lin 001; Chaoda Peng; Cankun Zhong; Dong Wang; Mingyue Cheng (IEEE Internet Things J., 2025)

An Experimental Approach for Running-Time Estimation of Multi-objective Evolutionary Algorithms in Numerical Optimization. - Han Huang; Tianyu Wang; Chaoda Peng; Tongli He; Zhifeng Hao (CoRR, 2025)