Cooperative Bacterial Foraging Optimization
Bacterial Foraging Optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria. This paper presents a variation on the original BFO algorithm, namely, the Cooperative Bacterial Foraging Optimization (CBFO), which significantly improve the original B...
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| Format: | Article |
| Language: | English |
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Wiley
2009-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2009/815247 |
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| _version_ | 1832545881794019328 |
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| author | Hanning Chen Yunlong Zhu Kunyuan Hu |
| author_facet | Hanning Chen Yunlong Zhu Kunyuan Hu |
| author_sort | Hanning Chen |
| collection | DOAJ |
| description | Bacterial Foraging Optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria. This paper presents a variation on the original BFO algorithm, namely, the Cooperative Bacterial Foraging Optimization (CBFO), which significantly improve the original BFO in solving complex optimization problems. This significant improvement is achieved by applying two cooperative approaches to the original BFO, namely, the serial heterogeneous cooperation on the implicit space decomposition level and the serial heterogeneous cooperation on the hybrid space decomposition level. The experiments compare the performance of two CBFO variants with the original BFO, the standard PSO and a real-coded GA on four widely used benchmark functions. The new method shows a marked improvement in performance over the original BFO and appears to be comparable with the PSO and GA. |
| format | Article |
| id | doaj-art-d2f09d9ac97e4a36add824807c20fc26 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-d2f09d9ac97e4a36add824807c20fc262025-02-03T07:24:33ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2009-01-01200910.1155/2009/815247815247Cooperative Bacterial Foraging OptimizationHanning Chen0Yunlong Zhu1Kunyuan Hu2Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, ChinaKey Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, ChinaKey Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, ChinaBacterial Foraging Optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria. This paper presents a variation on the original BFO algorithm, namely, the Cooperative Bacterial Foraging Optimization (CBFO), which significantly improve the original BFO in solving complex optimization problems. This significant improvement is achieved by applying two cooperative approaches to the original BFO, namely, the serial heterogeneous cooperation on the implicit space decomposition level and the serial heterogeneous cooperation on the hybrid space decomposition level. The experiments compare the performance of two CBFO variants with the original BFO, the standard PSO and a real-coded GA on four widely used benchmark functions. The new method shows a marked improvement in performance over the original BFO and appears to be comparable with the PSO and GA.http://dx.doi.org/10.1155/2009/815247 |
| spellingShingle | Hanning Chen Yunlong Zhu Kunyuan Hu Cooperative Bacterial Foraging Optimization Discrete Dynamics in Nature and Society |
| title | Cooperative Bacterial Foraging Optimization |
| title_full | Cooperative Bacterial Foraging Optimization |
| title_fullStr | Cooperative Bacterial Foraging Optimization |
| title_full_unstemmed | Cooperative Bacterial Foraging Optimization |
| title_short | Cooperative Bacterial Foraging Optimization |
| title_sort | cooperative bacterial foraging optimization |
| url | http://dx.doi.org/10.1155/2009/815247 |
| work_keys_str_mv | AT hanningchen cooperativebacterialforagingoptimization AT yunlongzhu cooperativebacterialforagingoptimization AT kunyuanhu cooperativebacterialforagingoptimization |