Acta Metrologica Sinica  2023, Vol. 44 Issue (2): 252-257    DOI: 10.3969/j.issn.1000-1158.2023.02.14
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Multi-objective Optimization Algorithm Based on Particle Swarm and Clustering
XIONG Zhi-jian1,2,WANG Xiao-jing3,YANG Jing-ming2,WANG Wei-fang4,ZHAO Zhi-wei1
1. College of Artificial Intelligence, Key Lab of Intelligent Data Information Processing & Control of Hebei Province,
Tangshan University, Tangshan, Hebei 063000, China
2.  Yanshan University, Qinhuangdao, Hebei 066004, China
3.  Kailuan General Hospital, Tangshan, Hebei 063000, China
4. Tangshan Normal University, Tangshan, Hebei 063000, China
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Abstract  To solve the problem that the particle swarm optimization algorithm is easy to fall into the local optimum.A multi-objective optimization algorithm based on the combination of particle swarm optimization and clustering method is proposed.The algorithm is based on the method of reference vector decomposition, and the global optimal solution is updated through the clustering optimization particle strategy.First, the particles are clustered by each uniformly distributed reference vector to promote the diversity of particles. A particle with the smallest aggregation function fitness value is selected from each cluster in order to balance convergence and diversity.The global optimal solution and the individual optimal solution are dynamically updated, and the population is guided to be evenly distributed near the Pareto front.It is compared with the four particle swarm multi-objective optimization algorithms through simulation experiments.Experimental results show that the proposed algorithm obtains 20 IGD optimal values on 27 selected benchmark problems.
Key wordsmetrology      multi-objective optimization      particle swarm optimization      clustering      reference vector     
Received: 08 November 2021      Published: 21 February 2023
PACS:  TB973  
  TB931  
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XIONG Zhi-jian
WANG Xiao-jing
YANG Jing-ming
WANG Wei-fang
ZHAO Zhi-wei
Cite this article:   
XIONG Zhi-jian,WANG Xiao-jing,YANG Jing-ming, et al. Multi-objective Optimization Algorithm Based on Particle Swarm and Clustering[J]. Acta Metrologica Sinica, 2023, 44(2): 252-257.
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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2023.02.14     OR     http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2023/V44/I2/252
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