A Crossover Bacterial Foraging Optimization Algorithm
This paper presents a modified bacterial foraging optimization algorithm called crossover bacterial foraging optimization algorithm, which inherits the crossover technique of genetic algorithm. This can be used for improvising the evaluation of optimal objective function values. The idea of using cr...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2012/907853 |
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| _version_ | 1849398375381729280 |
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| author | Rutuparna Panda Manoj Kumar Naik |
| author_facet | Rutuparna Panda Manoj Kumar Naik |
| author_sort | Rutuparna Panda |
| collection | DOAJ |
| description | This paper presents a modified bacterial foraging optimization algorithm called crossover bacterial foraging optimization algorithm, which inherits the crossover technique of genetic algorithm. This can be used for improvising the evaluation of optimal objective function values. The idea of using crossover mechanism is to search nearby locations by offspring (50 percent of bacteria), because they are randomly produced at different locations. In the traditional bacterial foraging optimization algorithm, search starts from the same locations (50 percent of bacteria are replicated) which is not desirable. Seven different benchmark functions are considered for performance evaluation. Also, comparison with the results of previous methods is presented to reveal the effectiveness of the proposed algorithm. |
| format | Article |
| id | doaj-art-a1e46ffd5af24f7f8f72a9ed9d23224e |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-a1e46ffd5af24f7f8f72a9ed9d23224e2025-08-20T03:38:38ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322012-01-01201210.1155/2012/907853907853A Crossover Bacterial Foraging Optimization AlgorithmRutuparna Panda0Manoj Kumar Naik1Department of Electronics and Telecommunication Engineering, VSS University of Technology, Burla 768018, IndiaDepartment of Electronics and Telecommunication Engineering, VSS University of Technology, Burla 768018, IndiaThis paper presents a modified bacterial foraging optimization algorithm called crossover bacterial foraging optimization algorithm, which inherits the crossover technique of genetic algorithm. This can be used for improvising the evaluation of optimal objective function values. The idea of using crossover mechanism is to search nearby locations by offspring (50 percent of bacteria), because they are randomly produced at different locations. In the traditional bacterial foraging optimization algorithm, search starts from the same locations (50 percent of bacteria are replicated) which is not desirable. Seven different benchmark functions are considered for performance evaluation. Also, comparison with the results of previous methods is presented to reveal the effectiveness of the proposed algorithm.http://dx.doi.org/10.1155/2012/907853 |
| spellingShingle | Rutuparna Panda Manoj Kumar Naik A Crossover Bacterial Foraging Optimization Algorithm Applied Computational Intelligence and Soft Computing |
| title | A Crossover Bacterial Foraging Optimization Algorithm |
| title_full | A Crossover Bacterial Foraging Optimization Algorithm |
| title_fullStr | A Crossover Bacterial Foraging Optimization Algorithm |
| title_full_unstemmed | A Crossover Bacterial Foraging Optimization Algorithm |
| title_short | A Crossover Bacterial Foraging Optimization Algorithm |
| title_sort | crossover bacterial foraging optimization algorithm |
| url | http://dx.doi.org/10.1155/2012/907853 |
| work_keys_str_mv | AT rutuparnapanda acrossoverbacterialforagingoptimizationalgorithm AT manojkumarnaik acrossoverbacterialforagingoptimizationalgorithm AT rutuparnapanda crossoverbacterialforagingoptimizationalgorithm AT manojkumarnaik crossoverbacterialforagingoptimizationalgorithm |