A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes
Joint Authors
Xu, Bin
Chen, Xu
Huang, Xiuhui
Tao, Lili
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-16
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
Optimal control problems with multiple conflicting objectives in chemical processes are quite challenging.
To solve such problems, we put forward a multistrategy-based multiobjective differential evolution, in which (1) a hybrid selection strategy is incorporated from the motivation of no single strategy outperforming all other ones in every stage; (2) a multipopulation strategy is applied to represent the main population and current optimum, and a cyclic crowding estimation is developed to maintain these optimum; and (3) a multimutation strategy is constructed to improve both exploration and exploitation ability.
The effectiveness and efficiency of the proposed algorithm are validated by comparisons with some representative multiobjective evolutionary algorithms over 12 test instances.
Moreover, the proposed algorithm is applied to solve 3 multiobjective optimal control problems in chemical processes.
The obtained results indicate the efficiency and effectiveness of the proposed algorithm for solving multiobjective optimal control problems.
American Psychological Association (APA)
Xu, Bin& Chen, Xu& Huang, Xiuhui& Tao, Lili. 2018. A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes. Complexity،Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1133212
Modern Language Association (MLA)
Xu, Bin…[et al.]. A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes. Complexity No. 2018 (2018), pp.1-22.
https://search.emarefa.net/detail/BIM-1133212
American Medical Association (AMA)
Xu, Bin& Chen, Xu& Huang, Xiuhui& Tao, Lili. A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes. Complexity. 2018. Vol. 2018, no. 2018, pp.1-22.
https://search.emarefa.net/detail/BIM-1133212
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133212