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Cooperative Bacterial Foraging Optimization
Joint Authors
Hu, Kunyuan
Chen, Hanning
Zhu, Yunlong
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-11-05
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Chen, Hanning& Zhu, Yunlong& Hu, Kunyuan. 2009. Cooperative Bacterial Foraging Optimization. Discrete Dynamics in Nature and Society،Vol. 2009, no. 2009, pp.1-17.
https://search.emarefa.net/detail/BIM-500294
Modern Language Association (MLA)
Chen, Hanning…[et al.]. Cooperative Bacterial Foraging Optimization. Discrete Dynamics in Nature and Society No. 2009 (2009), pp.1-17.
https://search.emarefa.net/detail/BIM-500294
American Medical Association (AMA)
Chen, Hanning& Zhu, Yunlong& Hu, Kunyuan. Cooperative Bacterial Foraging Optimization. Discrete Dynamics in Nature and Society. 2009. Vol. 2009, no. 2009, pp.1-17.
https://search.emarefa.net/detail/BIM-500294
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500294