Dynamic Multiobjective Optimization with Multiple Response Strategies Based on Linear Environment Detection
Joint Authors
Liu, Zun
Lin, Qiuzhen
Yu, Qiyuan
Zhong, Shen
Huang, Peizhi
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-26, 26 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-24
Country of Publication
Egypt
No. of Pages
26
Main Subjects
Abstract EN
Dynamic multiobjective optimization problems (DMOPs) bring more challenges for multiobjective evolutionary algorithm (MOEA) due to its time-varying characteristic.
To handle this kind of DMOPs, this paper presents a dynamic MOEA with multiple response strategies based on linear environment detection, called DMOEA-LEM.
In this approach, different types of environmental changes are estimated and then the corresponding response strategies are activated to generate an efficient initial population for the new environment.
DMOEA-LEM not only detects whether the environmental changes but also estimates the types of linear changes so that different prediction models can be selected to initialize the population when the environmental changes.
To study the performance of DMOEA-LEM, a large number of test DMOPs are adopted and the experiments validate the advantages of our algorithm when compared to three state-of-the-art dynamic MOEAs.
American Psychological Association (APA)
Yu, Qiyuan& Zhong, Shen& Liu, Zun& Lin, Qiuzhen& Huang, Peizhi. 2020. Dynamic Multiobjective Optimization with Multiple Response Strategies Based on Linear Environment Detection. Complexity،Vol. 2020, no. 2020, pp.1-26.
https://search.emarefa.net/detail/BIM-1145369
Modern Language Association (MLA)
Yu, Qiyuan…[et al.]. Dynamic Multiobjective Optimization with Multiple Response Strategies Based on Linear Environment Detection. Complexity No. 2020 (2020), pp.1-26.
https://search.emarefa.net/detail/BIM-1145369
American Medical Association (AMA)
Yu, Qiyuan& Zhong, Shen& Liu, Zun& Lin, Qiuzhen& Huang, Peizhi. Dynamic Multiobjective Optimization with Multiple Response Strategies Based on Linear Environment Detection. Complexity. 2020. Vol. 2020, no. 2020, pp.1-26.
https://search.emarefa.net/detail/BIM-1145369
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1145369