Logistics Center Location Selection Based on the Algorithm of Hybrid Particle Swarm Optimization

被引：3
|
作者：
Zhi Jun
Liu Jian-yong
Wang Wei
Wu Hai-ping
Gao Jie
机构：
来源：
ADVANCED MEASUREMENT AND TEST, PARTS 1 AND 2 | 2010年 / 439-440卷
关键词：
location selection; particle swarm optimization; simulated annealing;
D O I：
10.4028/www.scientific.net/KEM.439-440.429
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
PSO algorithm is apt to appear the phenomenon of search stagnancy. To overcome the phenomenon, it uses the crossover and mutation mechanism of genetic algorithm and thought of simulated annealing for references. It has put forward the hybrid PSO algorithm and applies it to the problem of logistics center location selection, its validity and speediness has been proved through emulation.
引用
收藏
页码：429 / 433
页数：5
相关论文
共 50 条
  • [31] Hybrid particle swarm optimization algorithm for text feature selection problems
    Mourad Nachaoui
    Issam Lakouam
    Imad Hafidi
    Neural Computing and Applications, 2024, 36 : 7471 - 7489
  • [32] A Hybrid Particle Swarm Optimization Algorithm
    Qi Changxing
    Bi Yiming
    Han Huihua
    Li Yong
    PROCEEDINGS OF 2017 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC), 2017, : 2187 - 2190
  • [33] On a hybrid particle swarm optimization algorithm
    Singh, Sharandeep
    Singh, Narinder
    Singh, S. B.
    INTERNATIONAL JOURNAL OF ADVANCED AND APPLIED SCIENCES, 2016, 3 (12): : 96 - 105
  • [34] A hybrid improved compressed particle swarm optimization WSN node location algorithm
    Liu, Xiaoyang
    Zhang, Kangqi
    Zhang, Xiaoqin
    Fiumara, Giacomo
    De Meo, Pasquale
    PHYSICAL COMMUNICATION, 2024, 67
  • [35] AGC Unit Selection Based on Hybrid Particle Swarm Optimization
    Zhang Tao
    Cai Jin-ding
    INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL 1, PROCEEDINGS, 2008, : 17 - 20
  • [36] Study of Distribution Center Location Based on Improved Particle Swarm Optimization
    Chen, Qin
    ICCSSE 2009: PROCEEDINGS OF 2009 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, 2009, : 139 - 143
  • [37] A hybrid optimizer based on firefly algorithm and particle swarm optimization algorithm
    Xia, Xuewen
    Gui, Ling
    He, Guoliang
    Xie, Chengwang
    Wei, Bo
    Xing, Ying
    Wu, Ruifeng
    Tang, Yichao
    JOURNAL OF COMPUTATIONAL SCIENCE, 2018, 26 : 488 - 500
  • [38] Hybrid Algorithm Based on Phasor Particle Swarm Optimization and Firefly Algorithm
    Chen, Peilin
    Wu, Chenhan
    Liu, Xiaole
    Wang, Yongjin
    ADVANCES IN SWARM INTELLIGENCE, ICSI 2023, PT I, 2023, 13968 : 148 - 157
  • [39] A hybrid algorithm based on artificial sheep algorithm and particle swarm optimization
    Ding, Tan
    Chang, Li
    Li, Chaoshun
    Feng, Chen
    2018 11TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2, 2018, : 262 - 265
  • [40] Reactive Power Optimization Based on Hybrid Particle Swarm Optimization Algorithm
    Ali, Mohammad Yunus
    Raahemifar, Kaamran
    2012 25TH IEEE CANADIAN CONFERENCE ON ELECTRICAL & COMPUTER ENGINEERING (CCECE), 2012,
12345