Study of Distribution Center Location Based on Improved Particle Swarm Optimization

被引：0
作者：
Chen, Qin [1 ]
机构：
[1] Guangxi Univ, Sch Comp Elect & Informat, Nanning 530004, Peoples R China
来源：
ICCSSE 2009: PROCEEDINGS OF 2009 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION | 2009年
关键词：
Distribution Center Location; Particle Swarm Optimization; Inertia Weight; Acceleration Constants;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Aim at the location problem of distribution center an improved particle swarm optimization algorithm (IPSO) is proposed in this paper. This IPSO is presented to improve the performance of standard PSO with appropriate inertia weight and acceleration constants,which can well prevent premature and it has fast convergence. The experimental results show that the proposed algorithm can well solve the optimization for location problem of distribution center.
引用
收藏
页码：139 / 143
页数：5
相关论文
共 50 条
  • [31] Improved Particle Swarm Optimization Based on Velocity Clamping and Particle Penalization
    Alhussein, Musaed
    Haider, Syed Irtaza
    2015 THIRD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, MODELLING AND SIMULATION (AIMS 2015), 2015, : 61 - 64
  • [32] New energy vehicle charging station location method based on improved particle swarm optimization algorithm
    Zhang, Liang-Li
    Ma, Xiao-Feng
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2024, 54 (08): : 2275 - 2281
  • [33] Optimization of PID Parameters Based on Improved Particle-Swarm-Optimization
    Fan, Xinming
    Cao, Jianzhong
    Yang, Hongtao
    Dong, Xiaokun
    Liu, Chen
    Gong, Zhendong
    Wu, Qingquan
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CLOUD COMPUTING COMPANION (ISCC-C), 2014, : 393 - 397
  • [34] Enhancing the Particle Swarm Optimization based on Equilibrium of Distribution
    Zu, Wei
    Hao, Yan-ling
    Zeng, Hai-tao
    Tang, Wen-jing
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 285 - +
  • [35] Parameters optimization of fuzzy controller based on improved particle swarm optimization
    Wang, Dongyun
    Wang, Guan
    2008 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS, 2008, : 917 - 921
  • [36] Ship Pipe Layout Optimization Based on Improved Particle Swarm Optimization
    Lin Y.
    Bian X.
    Dong Z.
    Journal of Shanghai Jiaotong University (Science), 2024, 29 (05) : 737 - 746
  • [37] Improved Set-based Particle Swarm Optimization for Portfolio Optimization
    Erwin, Kyle
    Engelbrecht, Andries
    2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2020, : 1573 - 1580
  • [38] Traffic Light Timing Optimization based on Improved Particle Swarm Optimization
    Liu, Chi
    Yan, Changqing
    Ma, Chenyin
    Suo, Qihan
    2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2022, : 635 - 639
  • [39] An Improved Particle Swarm Optimization for Global Optimization
    Yan, Ping
    Jiao, Ming-hai
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 2181 - 2185
  • [40] Improved salp swarm algorithm based on particle swarm optimization for feature selection
    Ibrahim, Rehab Ali
    Ewees, Ahmed A.
    Oliva, Diego
    Abd Elaziz, Mohamed
    Lu, Songfeng
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2019, 10 (08) : 3155 - 3169
12345