Investigation on Evolutionary Computation Techniques of a Nonlinear System
The main aim of this work is to show that such a powerful optimizing tool like evolutionary algorithms (EAs) can be in reality used for the simulation and optimization of a nonlinear system. A nonlinear mathematical model is required to describe the dynamic behaviour of batch process; this justifies...
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| Format: | Article |
| Language: | English |
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Wiley
2011-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2011/496732 |
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| _version_ | 1850159810555674624 |
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| author | Tran Trong Dao |
| author_facet | Tran Trong Dao |
| author_sort | Tran Trong Dao |
| collection | DOAJ |
| description | The main aim of this work is to show that such a powerful optimizing tool like evolutionary algorithms (EAs) can be in reality used for the simulation and optimization of a nonlinear system. A nonlinear mathematical model is required to describe the dynamic behaviour of batch process; this justifies the use of evolutionary method of the EAs to deal with this process. Four algorithms from the field of artificial intelligent—differential evolution (DE), self-organizing migrating algorithm (SOMA), genetic algorithm (GA), and simulated annealing (SA)—are used in this investigation. The results show that EAs are used successfully in the process optimization. |
| format | Article |
| id | doaj-art-b54df2841d1c49049dfa0469d0840f19 |
| institution | OA Journals |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-b54df2841d1c49049dfa0469d0840f192025-08-20T02:23:23ZengWileyModelling and Simulation in Engineering1687-55911687-56052011-01-01201110.1155/2011/496732496732Investigation on Evolutionary Computation Techniques of a Nonlinear SystemTran Trong Dao0Faculty of Information Technology and Applied Mathematics, Ton Duc Thang University, Nguyen Huu Tho Street, Tan Phong Ward, District 7, Ho Chi Minh City, VietnamThe main aim of this work is to show that such a powerful optimizing tool like evolutionary algorithms (EAs) can be in reality used for the simulation and optimization of a nonlinear system. A nonlinear mathematical model is required to describe the dynamic behaviour of batch process; this justifies the use of evolutionary method of the EAs to deal with this process. Four algorithms from the field of artificial intelligent—differential evolution (DE), self-organizing migrating algorithm (SOMA), genetic algorithm (GA), and simulated annealing (SA)—are used in this investigation. The results show that EAs are used successfully in the process optimization.http://dx.doi.org/10.1155/2011/496732 |
| spellingShingle | Tran Trong Dao Investigation on Evolutionary Computation Techniques of a Nonlinear System Modelling and Simulation in Engineering |
| title | Investigation on Evolutionary Computation Techniques of a Nonlinear System |
| title_full | Investigation on Evolutionary Computation Techniques of a Nonlinear System |
| title_fullStr | Investigation on Evolutionary Computation Techniques of a Nonlinear System |
| title_full_unstemmed | Investigation on Evolutionary Computation Techniques of a Nonlinear System |
| title_short | Investigation on Evolutionary Computation Techniques of a Nonlinear System |
| title_sort | investigation on evolutionary computation techniques of a nonlinear system |
| url | http://dx.doi.org/10.1155/2011/496732 |
| work_keys_str_mv | AT trantrongdao investigationonevolutionarycomputationtechniquesofanonlinearsystem |