Modified binary particle swarm optimization

被引：132
作者：
Lee, Sangwook [2 ]
Soak, Sangmoon [3 ]
Oh, Sanghoun [1 ]
Pedrycz, Witold [4 ]
Jeon, Moongu [1 ]
机构：
[1] Gwangju Inst Sci & Technol, Dept Informat & Commun, Gwanju, South Korea
[2] Georgia Inst Technol, Coll Comp, Atlanta, GA 30332 USA
[3] KIPO, Informat Syst Examinat Team, Dunsandong, Seogu, South Korea
[4] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada
来源：
PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL | 2008年 / 18卷 / 09期
关键词：
Binary particle swarm optimization; Genotype-phenotype; Mutation;
D O I：
10.1016/j.pnsc.2008.03.018
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents a modified binary particle swarm optimization (BPSO) which adopts concepts of the genotype-phenotype representation and the mutation operator of genetic algorithms. Its main feature is that the BPSO can be treated as a continuous PSO. The proposed BPSO algorithm is tested on various benchmark functions, and its performance is compared with that of the original BPSO. Experimental results show that the modified BPSO outperforms the original BPSO algorithm. (C) 2008 National Natural Science Foundation of China and Chinese Academy of Sciences. Published by Elsevier Limited and Science in China Press. All rights reserved.
引用
收藏
页码：1161 / 1166
页数：6
相关论文
共 50 条
  • [11] A binary particle swarm optimization for ic floorplanning
    Singh R.B.
    Baghel A.S.
    Solanki A.
    Recent Advances in Computer Science and Communications, 2020, 13 (01): : 13 - 21
  • [12] Analysis and improvement of the binary particle swarm optimization
    Kessentini, Sameh
    ANNALS OF OPERATIONS RESEARCH, 2024,
  • [13] Task Allocation for Wireless Sensor Network Using Modified Binary Particle Swarm Optimization
    Yang, Jun
    Zhang, Hesheng
    Ling, Yun
    Pan, Cheng
    Sun, Wei
    IEEE SENSORS JOURNAL, 2014, 14 (03) : 882 - 892
  • [14] Performance Investigation on Binary Particle Swarm Optimization for Global Optimization
    Lee, Ying Loong
    Abd El-Saleh, Ayman
    Loo, Jonathan
    Siyau, MingFei
    ADVANCES IN PRACTICAL APPLICATIONS OF AGENTS, MULTI-AGENT SYSTEMS, AND SUSTAINABILITY, 2015, 9086 : 142 - 154
  • [15] An Improved binary particle swarm optimization for discrete optimization problems
    Yin, Guisheng
    Cui, Xiaohui
    Dong, Yuxin
    Yang, Xue
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2015, 36 (02): : 191 - 195
  • [16] A binary particle swarm optimization for continuum structural topology optimization
    Luh, Guan-Chun
    Lin, Chun-Yi
    Lin, Yu-Shu
    APPLIED SOFT COMPUTING, 2011, 11 (02) : 2833 - 2844
  • [17] Binary Particle Swarm Optimization Algorithm with Mutation for Multiple Sequence Alignment
    Long, Hai-Xia
    Xu, Wen-Bo
    Sun, Jun
    RIVISTA DI BIOLOGIA-BIOLOGY FORUM, 2009, 102 (01): : 75 - 94
  • [18] A modified particle swarm optimization for correlated phenomena
    Arefi, Ali
    Haghifam, Mahmoud Reza
    APPLIED SOFT COMPUTING, 2011, 11 (08) : 4640 - 4654
  • [19] A MODIFIED PARTICLE SWARM OPTIMIZATION WITH MUTATION AND REPOSITION
    Ratanavilisacul, Chiabwoot
    Kruatrachue, Boontee
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2014, 10 (06): : 2127 - 2142
  • [20] Binary Restructuring Particle Swarm Optimization and Its Application
    Zhu, Jian
    Liu, Jianhua
    Chen, Yuxiang
    Xue, Xingsi
    Sun, Shuihua
    BIOMIMETICS, 2023, 8 (02)
12345