Survey of Bacterial Foraging Optimization Algorithm
نویسنده
چکیده
Bacterial Foraging Optimization Technique is used in optimization for grid computing as they get their inspirations from evolutionary idea of natural evolution. It has been broadly accepted as a global optimization algorithm of current interest for distributed optimization and control. This algorithm is inspired by the social foraging behavior of Escherichia coli. Bacterial Foraging Optimization (BFO) algorithm is a novel evolutionary computation algorithm. It is proposed based on the foraging behavior of the Escherichia coli (E. coli) bacteria living in the human intestine. The BFO algorithm is a biologically inspired computing technique. This paper presents a broad overview on the formalization of works contributed by Bacterial Foraging Optimization Algorithm to the field of grid scheduling. KeywordsBacterial Foraging Optimization Algorithm, Grid Computing, Chemotaxis
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