A Comparative Analysis of Selection Schemes in the Artificial Bee Colony Algorithm
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| Natura: | Artículo científico |
| Lingua: | en |
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Instituto Politécnico Nacional
2016
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| _version_ | 1876481421728546816 |
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| author | Ajit Kumar |
| author_facet | Ajit Kumar |
| contents | A Comparative Analysis of Selection Schemes in the Artificial Bee Colony Algorithm Ajit Kumar Dharmender Kumar S.K. Jarial Computación optimization selection scheme Swarm based algorithm artificial bee colony The Artificial Bee Colony (ABC) algorithm is a popular swarm based algorithm inspired by the intelligent foraging behavior of honey bees. In the past, many swarm intelligence based techniques were introduced and proved their effective performance in solving various optimization problems. The exploitation of food sources is performed by onlooker bees in accordance with a proportional selection scheme that can be further modified to avoid such shortcomings as population diversity and premature convergence. In thi s paper, different selection schemes , namely , tournament selection, truncation selection, disruptive selection, linear dynamic scaling, linear ranking, sigma truncation , and exponential ranking have been used to analyze the performance of the ABC algorithm by testing on standard benchmark functions. From the simulation results, the schemes other than the standar d ABC prove their efficient performance. 2016 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61544821006 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.1 Vol.20 |
| format | Artículo científico |
| id | redalyc_61544821006 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | A Comparative Analysis of Selection Schemes in the Artificial Bee Colony Algorithm Ajit Kumar Computación optimization selection scheme Swarm based algorithm artificial bee colony A Comparative Analysis of Selection Schemes in the Artificial Bee Colony Algorithm Ajit Kumar Dharmender Kumar S.K. Jarial Computación optimization selection scheme Swarm based algorithm artificial bee colony The Artificial Bee Colony (ABC) algorithm is a popular swarm based algorithm inspired by the intelligent foraging behavior of honey bees. In the past, many swarm intelligence based techniques were introduced and proved their effective performance in solving various optimization problems. The exploitation of food sources is performed by onlooker bees in accordance with a proportional selection scheme that can be further modified to avoid such shortcomings as population diversity and premature convergence. In thi s paper, different selection schemes , namely , tournament selection, truncation selection, disruptive selection, linear dynamic scaling, linear ranking, sigma truncation , and exponential ranking have been used to analyze the performance of the ABC algorithm by testing on standard benchmark functions. From the simulation results, the schemes other than the standar d ABC prove their efficient performance. 2016 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61544821006 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.1 Vol.20 |
| title | A Comparative Analysis of Selection Schemes in the Artificial Bee Colony Algorithm |
| topic | Computación optimization selection scheme Swarm based algorithm artificial bee colony |
| url | https://www.redalyc.org/articulo.oa?id=61544821006 |