The Core Mechanism of Adaptive Bacterial Foraging Optimization

被引：0

作者：

Liu, Wei ^{[1
,2
]}

Chen, H-X ^{[1
]}

Chen, H-N ^{[3
]}

Chen, M-Sh ^{[1
]}

机构：

[1] Jilin Univ, Commun Engn Coll, Changchun, Jilin, Peoples R China

[2] Jilin Normal Univ, Informat & Technol Coll, Siping, Jilin, Peoples R China

[3] Chinese Acad Sci, China Shenyang Inst Automat, Shenyang, Liaoning, Peoples R China

来源：

2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL VIII | 2010年

关键词：

PSO; chemotactic behavior; quorum sensing; adaptive foraging strategy; ESCHERICHIA-COLI;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to improve the performance of Bacterial Foraging Optimization,this paper presents a variation on the original BFO algorithm, called the Adaptive Bacterial Foraging Optimization (ABFO), employing chemotactic behavior, quorum sensing, and adaptive foraging strategy to significantly improve the performance of the original algorithm.

引用

页码：92 / 95

页数：4

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