Particle swarm optimisation for discrete optimisation problems: a review

被引:89
|
作者
Jordehi, Ahmad Rezaee [1 ]
Jasni, Jasronita [1 ]
机构
[1] Univ Putra Malaysia, Dept Elect Engn, Upm Serdang 43400, Selangor, Malaysia
关键词
Particle swarm optimisation; Optimisation; Discrete environments; DISTRIBUTION-SYSTEMS; NETWORK RECONFIGURATION; PLACEMENT; ALGORITHM; FRAMEWORK; VERSION; POWER;
D O I
10.1007/s10462-012-9373-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In many optimisation problems, all or some of decision variables are discrete. Solving such problems are more challenging than those problems with pure continuous variables. Among various optimisation techniques, particle swarm optimisation (PSO) has demonstrated more promising performance in tackling discrete optimisation problems. In PSO, basic variants are merely applicable to continuous problems. So, appropriate strategies should be adopted for enabling them to be applicable to discrete problems. This paper analyses all strategies adopted in PSO for tackling discrete problems and discusses thoroughly about pros and cons of each strategy.
引用
收藏
页码:243 / 258
页数:16
相关论文
共 50 条
  • [1] Particle swarm optimisation for discrete optimisation problems: a review
    Ahmad Rezaee Jordehi
    Jasronita Jasni
    [J]. Artificial Intelligence Review, 2015, 43 : 243 - 258
  • [2] Particle swarm optimisation for dynamic optimisation problems: a review
    Jordehi, Ahmad Rezaee
    [J]. NEURAL COMPUTING & APPLICATIONS, 2014, 25 (7-8): : 1507 - 1516
  • [3] Particle swarm optimisation for dynamic optimisation problems: a review
    Ahmad Rezaee Jordehi
    [J]. Neural Computing and Applications, 2014, 25 : 1507 - 1516
  • [4] Discrete particle swarm optimisation for ontology alignment
    Bock, Juergen
    Hettenhausen, Jan
    [J]. INFORMATION SCIENCES, 2012, 192 : 152 - 173
  • [5] Restarting Particle Swarm Optimisation for Deceptive Problems
    Hendtlass, Tim
    [J]. 2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2012,
  • [6] A discrete particle swarm optimisation for operation sequencing in CAPP
    Dou, Jianping
    Li, Jun
    Su, Chun
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 56 (11) : 3795 - 3814
  • [7] Virtual network embedding with discrete particle swarm optimisation
    Wang, Li
    Qu, Hua
    Zhao, Jihong
    Guo, Ya
    [J]. ELECTRONICS LETTERS, 2014, 50 (04) : 285 - U127
  • [8] Population diversity of particle swarm optimisation algorithms for solving multimodal optimisation problems
    Cheng, Shi
    Chen, Junfeng
    Qin, Quande
    Shi, Yuhui
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING, 2018, 17 (01) : 69 - 79
  • [9] Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems
    Assimi, Hirad
    Neumann, Frank
    Wagner, Markus
    Li, Xiaodong
    [J]. EVOLUTIONARY COMPUTATION IN COMBINATORIAL OPTIMIZATION, EVOCOP 2022, 2022, 13222 : 111 - 126
  • [10] A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems
    Wang, Hongfeng
    Yang, Shengxiang
    Ip, W. H.
    Wang, Dingwei
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2012, 43 (07) : 1268 - 1283