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Bacterial Foraging Optimization

Kevin M. Passino

Source Title: International Journal of Swarm Intelligence Research (IJSIR)1(1)

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Passino, Kevin M. "Bacterial Foraging Optimization." IJSIR vol.1, no.1 2010: pp.1-16. http://doi.org/10.4018/jsir.2010010101

APA

Passino, K. M. (2010). Bacterial Foraging Optimization. International Journal of Swarm Intelligence Research (IJSIR), 1(1), 1-16. http://doi.org/10.4018/jsir.2010010101

Chicago

Passino, Kevin M. "Bacterial Foraging Optimization," International Journal of Swarm Intelligence Research (IJSIR) 1, no.1: 1-16. http://doi.org/10.4018/jsir.2010010101

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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.

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Bacterial Foraging Optimization

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