Bacterial Foraging Optimization

Kevin M. Passino
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Kevin M. Passino: The Ohio State University, USA

International Journal of Swarm Intelligence Research (IJSIR), 2010, vol. 1, issue 1, 1-16

Abstract: The bacterial foraging optimization (BFO) algorithm mimics how bacteria forage over a landscape of nutrients to perform parallel nongradient optimization. In this article, the author provides a tutorial on BFO, including an overview of the biology of bacterial foraging and the pseudo-code that models this process. The algorithms features are briefly compared to those in genetic algorithms, other bio-inspired methods, and nongradient optimization. The applications and future directions of BFO are also presented.

Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jsir00:v:1:y:2010:i:1:p:1-16

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