A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes
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 str...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/2317860 |
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| _version_ | 1849305458663227392 |
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| author | Bin Xu Xu Chen Xiuhui Huang Lili Tao |
| author_facet | Bin Xu Xu Chen Xiuhui Huang Lili Tao |
| author_sort | Bin Xu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0a0bf67fbc1e43fbb2c3edc5905eb8f0 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-0a0bf67fbc1e43fbb2c3edc5905eb8f02025-08-20T03:55:27ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/23178602317860A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical ProcessesBin Xu0Xu Chen1Xiuhui Huang2Lili Tao3School of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, ChinaSchool of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaCollege of Engineering, Shanghai Second Polytechnic University, Shanghai 201209, ChinaOptimal 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.http://dx.doi.org/10.1155/2018/2317860 |
| spellingShingle | Bin Xu Xu Chen Xiuhui Huang Lili Tao A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes Complexity |
| title | A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes |
| title_full | A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes |
| title_fullStr | A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes |
| title_full_unstemmed | A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes |
| title_short | A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes |
| title_sort | multistrategy based multiobjective differential evolution for optimal control in chemical processes |
| url | http://dx.doi.org/10.1155/2018/2317860 |
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