MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies

Zhang，Yan1,2; Li，Bingdong1,2; Hong，Wenjing3; Zhou，Aimin1,2

2023-12-28

10.1016/j.neucom.2023.126892

Neurocomputing   影响因子和分区

0925-2312

1872-8286

Particle swarm optimization (PSO) is a widely embraced meta-heuristic approach to tackling the complexities of multi-objective optimization problems (MOPs), renowned for its simplicity and swift convergence. However, when faced with large-scale multi-objective optimization problems (LSMOPs), most PSOs suffer from limited local search capabilities and insufficient randomness. This can result in suboptimal results, particularly in high-dimensional spaces. To address these issues, this paper introduces MOCPSO, a Multi-Objective Cooperative Particle Swarm Optimization Algorithm with Dual Search Strategies. MOCPSO incorporates a diversity search strategy (DSS) to augment perturbation and enhance the local search scope of particles, alongside a more convergent search strategy (CSS) to expedite particle convergence. Moreover, MOCPSO utilizes a three-category framework to effectively leverage the benefits of both DSS and CSS. Experimental results on benchmark LSMOPs with 500, 1000, and 2000 decision variables demonstrate that MOCPSO outperforms existing state-of-the-art large-scale multi-objective evolutionary algorithms on most test instances.

Evolutionary algorithm Large-scale multi-objective optimization Meta-heuristics Particle swarm optimization

SCI ; EI

英语

其他

WOS:001103668200001

20234214912233

Heuristic methods ; Local search (optimization) ; Particle swarm optimization (PSO)

Computer Software, Data Handling and Applications:723 ; Optimization Techniques:921.5

COMPUTER SCIENCE

2-s2.0-85174066540

Scopus

1.Lab of Artificial Intelligence for Education,East China Normal University,Shanghai,3663 Zhongshan North Road,200062,China
2.School of Computer Science and Technology,East China Normal University,Shanghai,3663 Zhongshan North Road,200062,China
3.Department of Computer Science and Engineering,Shenzhen,Southern University of Science and Technology,518055,China

Zhang，Yan,Li，Bingdong,Hong，Wenjing,et al. MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies[J]. Neurocomputing,2023,562.

Zhang，Yan,Li，Bingdong,Hong，Wenjing,&Zhou，Aimin.(2023).MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies.Neurocomputing,562.

Zhang，Yan,et al."MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies".Neurocomputing 562(2023).