A new ensemble algorithm of differential evolution and backtracking search optimization algorithm with adaptive control parameter for function optimization
Differential evolution (DE) is an effective and powerful approach and it has been widely used in different environments. However, the performance of DE is sensitive to the choice of control parameters. Thus, to obtain optimal performance, time-consuming parameter tuning is necessary. Backtracking Se...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Growing Science
2016-04-01
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| Series: | International Journal of Industrial Engineering Computations |
| Subjects: | |
| Online Access: | http://www.growingscience.com/ijiec/Vol7/IJIEC_2015_35.pdf |
| _version_ | 1818483628210913280 |
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| author | Sukanta Nama Apu Kumar Saha Sima Ghosh |
| author_facet | Sukanta Nama Apu Kumar Saha Sima Ghosh |
| author_sort | Sukanta Nama |
| collection | DOAJ |
| description | Differential evolution (DE) is an effective and powerful approach and it has been widely used in different environments. However, the performance of DE is sensitive to the choice of control parameters. Thus, to obtain optimal performance, time-consuming parameter tuning is necessary. Backtracking Search Optimization Algorithm (BSA) is a new evolutionary algorithm (EA) for solving real-valued numerical optimization problems. An ensemble algorithm called E-BSADE is proposed which incorporates concepts from DE and BSA. The performance of E-BSADE is evaluated on several benchmark functions and is compared with basic DE, BSA and conventional DE mutation strategy. |
| first_indexed | 2024-12-10T15:44:24Z |
| format | Article |
| id | doaj.art-c65c03ceca6a4c8396fda3e793927fa6 |
| institution | Directory Open Access Journal |
| issn | 1923-2926 1923-2934 |
| language | English |
| last_indexed | 2024-12-10T15:44:24Z |
| publishDate | 2016-04-01 |
| publisher | Growing Science |
| record_format | Article |
| series | International Journal of Industrial Engineering Computations |
| spelling | doaj.art-c65c03ceca6a4c8396fda3e793927fa62022-12-22T01:43:01ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342016-04-017232333810.5267/j.ijiec.2015.9.003A new ensemble algorithm of differential evolution and backtracking search optimization algorithm with adaptive control parameter for function optimizationSukanta NamaApu Kumar SahaSima GhoshDifferential evolution (DE) is an effective and powerful approach and it has been widely used in different environments. However, the performance of DE is sensitive to the choice of control parameters. Thus, to obtain optimal performance, time-consuming parameter tuning is necessary. Backtracking Search Optimization Algorithm (BSA) is a new evolutionary algorithm (EA) for solving real-valued numerical optimization problems. An ensemble algorithm called E-BSADE is proposed which incorporates concepts from DE and BSA. The performance of E-BSADE is evaluated on several benchmark functions and is compared with basic DE, BSA and conventional DE mutation strategy.http://www.growingscience.com/ijiec/Vol7/IJIEC_2015_35.pdfDifferential Evolution (DE)Backtracking Search Optimization Algorithm (BSA)Ensemble AlgorithmUnconstrained Optimization |
| spellingShingle | Sukanta Nama Apu Kumar Saha Sima Ghosh A new ensemble algorithm of differential evolution and backtracking search optimization algorithm with adaptive control parameter for function optimization International Journal of Industrial Engineering Computations Differential Evolution (DE) Backtracking Search Optimization Algorithm (BSA) Ensemble Algorithm Unconstrained Optimization |
| title | A new ensemble algorithm of differential evolution and backtracking search optimization algorithm with adaptive control parameter for function optimization |
| title_full | A new ensemble algorithm of differential evolution and backtracking search optimization algorithm with adaptive control parameter for function optimization |
| title_fullStr | A new ensemble algorithm of differential evolution and backtracking search optimization algorithm with adaptive control parameter for function optimization |
| title_full_unstemmed | A new ensemble algorithm of differential evolution and backtracking search optimization algorithm with adaptive control parameter for function optimization |
| title_short | A new ensemble algorithm of differential evolution and backtracking search optimization algorithm with adaptive control parameter for function optimization |
| title_sort | new ensemble algorithm of differential evolution and backtracking search optimization algorithm with adaptive control parameter for function optimization |
| topic | Differential Evolution (DE) Backtracking Search Optimization Algorithm (BSA) Ensemble Algorithm Unconstrained Optimization |
| url | http://www.growingscience.com/ijiec/Vol7/IJIEC_2015_35.pdf |
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