Survey of Bacterial Foraging Optimization Algorithm
Riya Mary Thomas
Riya Mary Thomas, Post-Graduate Student, School of Computer Science and Technology, Karunya University, India.
Manuscript received on March 05, 2013. | Revised Manuscript received on March 11, 2013. | Manuscript published on March 15, 2013. | PP: 11-12 | Volume-1 Issue-4, March 2013. | Retrieval Number: D0169031413/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Bacterial Foraging Optimization Algorithm, Grid Computing, Chemotaxis