An Interval Multi-objective Particle Swarm Optimization Algorithm with Niching Technology for Multimodal Problems

被引：0
作者：
Guan, Shouping [1 ]
Li, Xinyu [1 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang, Peoples R China
来源：
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年
关键词：
interval particle swarm optimization (IPSO); multimodal multi-objective optimization; niching technology; crowding distance;
D O I：
10.1109/CCDC58219.2023.10326563
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes an interval multi-objective niching particle swarm optimization (IMNPSO) algorithm for solving interval multimodal multi-objective optimization problems (IMMOPs). Firstly, in order to locate and maintain multiple optimal solutions, an interval niching PSO (INPSO) algorithm using a ring topology is introduced, and a dual archive mechanism is used to store personal and neighborhood best positions of all particles. Then, a fast non-dominated sorting algorithm based on interval analysis and the interval special crowding distance (ISCD) calculation method are presented, which are combined to form the sorting mechanism of interval particles in IMNPSO. Finally, several multi-objective test functions are selected, and the results demonstrate the effectiveness of the proposed algorithm.
引用
收藏
页码：4018 / 4023
页数：6
相关论文
共 11 条
[1]  
BRITS R, 2002, NICHING PARTICLE SWA
[2]   Handling multiple objectives with particle swarm optimization [J].
Coello, CAC ;
Pulido, GT ;
Lechuga, MS .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2004, 8 (03) :256-279
[3]  
De Jong K.A., 1975, ANAL BEHAV CLASS GEN
[4]   A fast and elitist multiobjective genetic algorithm: NSGA-II [J].
Deb, K ;
Pratap, A ;
Agarwal, S ;
Meyarivan, T .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :182-197
[5]   Interval Multi-objective Particle Swarm Optimization Algorithm and Its Application [J].
Guan S.-P. ;
Zou L.-F. ;
Zhang J.-J. .
Dongbei Daxue Xuebao/Journal of Northeastern University, 2019, 40 (11) :1521-1526
[6]  
Guan SP, 2018, CHIN CONT DECIS CONF, P1615, DOI 10.1109/CCDC.2018.8407386
[7]   Bounded error modeling using interval neural networks with parameter optimization [J].
Guan, Shouping ;
Yu, Xiaoyu .
NEUROCOMPUTING, 2022, 502 :84-97
[8]  
Kennedy J, 1995, 1995 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS PROCEEDINGS, VOLS 1-6, P1942, DOI 10.1109/icnn.1995.488968
[9]   Niching Without Niching Parameters: Particle Swarm Optimization Using a Ring Topology [J].
Li, Xiaodong .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2010, 14 (01) :150-169
[10]   A Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization [J].
Qu, B. Y. ;
Suganthan, Ponnuthurai Nagaratnam ;
Das, Swagatam .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2013, 17 (03) :387-402
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