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Cooperative Bacterial Foraging Optimization
Shao YC(邵一川); Chen HN(陈瀚宁)
Indexed BySCI
WOS IDWOS:000271656900001
Contribution Rank1
AbstractBacterial 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. Copyright (C) 2009 Hanning Chen et al.
WOS HeadingsScience & Technology ; Physical Sciences
WOS SubjectMathematics, Interdisciplinary Applications ; Multidisciplinary Sciences
WOS Research AreaMathematics ; Science & Technology - Other Topics
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Cited Times:46[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
AffiliationKey Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
Recommended Citation
GB/T 7714
Shao YC,Chen HN. Cooperative Bacterial Foraging Optimization[J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY,2009:1-17.
APA Shao YC,&Chen HN.(2009).Cooperative Bacterial Foraging Optimization.DISCRETE DYNAMICS IN NATURE AND SOCIETY,1-17.
MLA Shao YC,et al."Cooperative Bacterial Foraging Optimization".DISCRETE DYNAMICS IN NATURE AND SOCIETY (2009):1-17.
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