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Multipopulation Management in Evolutionary Algorithms and Application to Complex Warehouse Scheduling Problems
Joint Authors
Yu, Yadong
Ma, Haiping
Ye, Sengang
Chen, Xiaolei
Ma, Haiping
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-26
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Multipopulation is an effective optimization strategy which is often used in evolutionary algorithms (EAs) to improve optimization performance.
However, it is of remarkable difficulty to determine the number of subpopulations during the evolution process for a given problem, which may significantly affect optimization ability of EAs.
This paper proposes a simple multipopulation management strategy to dynamically adjust the subpopulation number in different evolution phases throughout the evolution.
The proposed method makes use of individual distances in the same subpopulation as well as the population distances between multiple subpopulations to determine the subpopulation number, which is substantial in maintaining population diversity and enhancing the exploration ability.
Furthermore, the proposed multipopulation management strategy is embedded into popular EAs to solve real-world complex automated warehouse scheduling problems.
Experimental results show that the proposed multipopulation EAs can easily be implemented and outperform other regular single-population algorithms to a large extent.
American Psychological Association (APA)
Yu, Yadong& Ma, Haiping& Ma, Haiping& Ye, Sengang& Chen, Xiaolei. 2018. Multipopulation Management in Evolutionary Algorithms and Application to Complex Warehouse Scheduling Problems. Complexity،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1134337
Modern Language Association (MLA)
Yu, Yadong…[et al.]. Multipopulation Management in Evolutionary Algorithms and Application to Complex Warehouse Scheduling Problems. Complexity No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1134337
American Medical Association (AMA)
Yu, Yadong& Ma, Haiping& Ma, Haiping& Ye, Sengang& Chen, Xiaolei. Multipopulation Management in Evolutionary Algorithms and Application to Complex Warehouse Scheduling Problems. Complexity. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1134337
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134337