Hybrid particle swarm optimization with simulated annealing

被引：0
|
作者：
Wang, XH [1 ]
Li, JJ [1 ]
机构：
[1] Shanghai Maritime Univ, Dept Elect & Automat, Shanghai 200135, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词：
particle swarm optimization; simulated annealing; function optimization;
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 recently invented intelligent optimizer with several highly desirable attributes. In this paper, a hybrid particle swarm optimization is proposed. This method integrates the particle swarm optimization with the simulated annealing. The method is applied to six test functions' optimization and the simulation shows that the performance of this algorithm is better than that of the adaptive particle swarm optimization and the genetic chaos optimization.
引用
收藏
页码：2402 / 2405
页数：4
相关论文
共 50 条
  • [31] A hybrid particle swarm optimization and simulated annealing algorithm for the job shop scheduling problem with transport resources
    Fontes, Dalila B. M. M.
    Homayouni, S. Mahdi
    Goncalves, Jose F.
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2023, 306 (03) : 1140 - 1157
  • [32] A hybrid algorithm based on particle swarm optimization and simulated annealing for a periodic job shop scheduling problem
    Amin Jamili
    Mohammad Ali Shafia
    Reza Tavakkoli-Moghaddam
    [J]. The International Journal of Advanced Manufacturing Technology, 2011, 54 : 309 - 322
  • [33] Improving quantum-behaved particle swarm optimization by simulated annealing
    Liu, Jing
    Sun, Jun
    Xu, Wenbo
    [J]. COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, PT 3, PROCEEDINGS, 2006, 4115 : 130 - 136
  • [34] A cooperative particle swarm optimization with constriction factor based on simulated annealing
    Wu, Zhuang
    Zhang, Shuo
    Wang, Ting
    [J]. COMPUTING, 2018, 100 (08) : 861 - 880
  • [35] Multiuser Detection Using the Novel Particle Swarm Optimization with Simulated Annealing
    Gao, Hongyuan
    Diao, Ming
    [J]. 2009 5TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-8, 2009, : 512 - 516
  • [36] A cooperative particle swarm optimization with constriction factor based on simulated annealing
    Zhuang Wu
    Shuo Zhang
    Ting Wang
    [J]. Computing, 2018, 100 : 861 - 880
  • [37] A Coupled Simulated Annealing and Particle Swarm Optimization Reliability-Based Design Optimization Strategy under Hybrid Uncertainties
    Yang, Shiyuan
    Wang, Hongtao
    Xu, Yihe
    Guo, Yongqiang
    Pan, Lidong
    Zhang, Jiaming
    Guo, Xinkai
    Meng, Debiao
    Wang, Jiapeng
    [J]. MATHEMATICS, 2023, 11 (23)
  • [38] Application of Simulated Annealing Particle Swarm Optimization Algorithm in Power Coal Blending Optimization
    Cui Yanbin
    [J]. 2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 5234 - 5237
  • [39] Optimization of Plant Light Source Based on Simulated Annealing Particle Swarm Optimization Algorithm
    Cui, Shigang
    Lv, Huimin
    Wu, Xingli
    Zhang, Yongli
    He, Lin
    [J]. PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 700 - 703
  • [40] Based on Particle Swarm Optimization and Simulated Annealing Combined Algorithm for Reactive Power Optimization
    Wang, Zhenshu
    Li, Linchuan
    Li, Bo
    [J]. 2009 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), VOLS 1-7, 2009, : 1909 - +
12345