A hybrid genetic algorithm and bacterial foraging approach for global optimization
Information Sciences: an International Journal
Transmission loss reduction based on FACTS and bacteria foraging algorithm
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation
IEEE Transactions on Evolutionary Computation
Brain storm optimization algorithm
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Brain storm optimization algorithm for multi-objective optimization problems
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
A survey on optimization metaheuristics
Information Sciences: an International Journal
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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.