An Improved Hybrid Multi-objective Particle Swarm Optimization Algorithm

被引：0

作者：

Zhou, Zuan ^{[1
]}

Dai, Guangming ^{[1
]}

Fang, Pan ^{[1
]}

Chen, Fangjie ^{[1
]}

Tan, Yi ^{[1
]}

机构：

[1] China Univ Geosci, Sch Comp, Wuhan 430074, Peoples R China

来源：

ADVANCES IN COMPUTATION AND INTELLIGENCE, PROCEEDINGS | 2008年 / 5370卷

关键词：

Particle swarm optimization; multi-objective optimization; orthogonal initialization; Cauchy mutation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Particle Swarm Optimization is a promising evolutionary optimization algorithm. In this paper, an improved hybrid multi-objective particle swarm optimization algorithm (IHMOPSO) is proposed. IHMOPSO uses orthogonal design to initialize Population, selects global optimal position from Pareto set. Apply mutation, cross operation and evolutionary selection, and uses two ways to update the position and velocity of particles. Experimental results on many well-known benchmark optimization problems have shown that IHMOPSO is effective and efficient.

引用

页码：181 / 188

页数：8

共 50 条

[1] Improved multi-objective particle swarm optimization algorithm
College of Automation, Northwestern Polytechnical University, Xi'an 710129, China
不详
Liu, B. (lbn1987113@163.com), 2013, Beijing University of Aeronautics and Astronautics (BUAA) (39):
[2] An improved multi-objective particle swarm optimization algorithm
Zhang, Qiuming
Xue, Siqing
ADVANCES IN COMPUTATION AND INTELLIGENCE, PROCEEDINGS, 2007, 4683 : 372 - +
[3] IMOPSO: An Improved Multi-objective Particle Swarm Optimization Algorithm
Ma, Borong
Hua, Jun
Ma, Zhixin
Li, Xianbo
PROCEEDINGS OF 2016 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), 2016, : 376 - 380
[4] An Improved Multi-objective Particle Swarm Optimization
Xu, Shengbing
Ouyang, Zhiping
Feng, Jiqiang
2020 5TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (ICCIA 2020), 2020, : 19 - 23
[5] An Improved Multi-Objective Particle Swarm Optimization
Yang, Xixiang
Zhang, Weihua
ADVANCED SCIENCE LETTERS, 2011, 4 (4-5) : 1491 - 1495
[6] An improved multi-objective cultural algorithm based on particle swarm optimization
Wu, Ya-Li
Xu, Li-Qing
Kongzhi yu Juece/Control and Decision, 2012, 27 (08): : 1127 - 1132
[7] Improved multi-objective clustering algorithm using particle swarm optimization
Gong, Congcong
Chen, Haisong
He, Weixiong
Zhang, Zhanliang
PLOS ONE, 2017, 12 (12):
[8] A HYBRID PARTICLE SWARM EVOLUTIONARY ALGORITHM FOR CONSTRAINED MULTI-OBJECTIVE OPTIMIZATION
Wei, Jingxuan
Wang, Yuping
Wang, Hua
COMPUTING AND INFORMATICS, 2010, 29 (05) : 701 - 718
[9] Modified Multi-Objective Particle Swarm Optimization Algorithm for Multi-objective Optimization Problems
Qiao, Ying
ADVANCES IN SWARM INTELLIGENCE, ICSI 2012, PT I, 2012, 7331 : 520 - 527
[10] An improved multi-objective particle swarm optimisation algorithm
Fu, Tiaoping
Shang Ya-Ling
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2011, 12 (1-2) : 66 - 71

← 1 2 3 4 5 →