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A single-objective Sequential Search Assistance-based Multi-Objective Algorithm Framework

Peng, Chen; Liang, Jing; Qiao, Kangjia; Ban, Xuanxuan; Suganthan, P.N.; ... more authors ... less authors ( Elsevier , 2025 , Article)

In recent years, multi-objective optimization has garnered significant attention from researchers. Evolutionary algorithms are proven to be highly effective in solving complex optimization problems in plenty of cases. ...

An individual adaptive evolution and regional collaboration based evolutionary algorithm for large-scale constrained multiobjective optimization problems

Kunjie, Yu; Yang, Zhenyu; Liang, Jing; Qiao, Kangjia; Qu, Boyang; ... more authors ... less authors ( Elsevier , 2025 , Article)

Large-scale constrained multiobjective optimization problems (LSCMOPs) refer to constrained multiobjective optimization problems (CMOPs) with large-scale decision variables. When using evolutionary algorithms to solve ...

A Reinforced Neighborhood Search Method Combined With Genetic Algorithm for Multi-Objective Multi-Robot Transportation System

Chen, Peng; Liang, Jing; Qiao, Kang Jia; Song, Hui; Suganthan, Ponnuthurai Nagaratnam; ... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)

With the rapid advancement of artificial intelligence, autonomous multi-robot systems have been successfully applied to various domains. Therefore, developing intelligent routing and scheduling systems to efficiently ...

An archive-assisted multi-modal multi-objective evolutionary algorithm

Peng, Chen; Li, Zhimeng; Qiao, Kangjia; Suganthan, P.N.; Ban, Xuanxuan; ... more authors ... less authors ( Elsevier , 2024 , Article)

The multi-modal multi-objective optimization problems (MMOPs) pertain to characteristic of the decision space that exhibit multiple sets of Pareto optimal solutions that are either identical or similar. The resolution of ...