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Analysis of Chemotaxis in Bacterial Foraging Optimization Algorithm

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 46 - Number 4
Year of Publication: 2012
Authors:
Livjeet Kaur
Mohinder Pal Joshi
10.5120/6895-9242

Livjeet Kaur and Mohinder Pal Joshi. Article: Analysis of Chemotaxis in Bacterial Foraging Optimization Algorithm. International Journal of Computer Applications 46(4):18-23, May 2012. Full text available. BibTeX

@article{key:article,
	author = {Livjeet Kaur and Mohinder Pal Joshi},
	title = {Article: Analysis of Chemotaxis in Bacterial Foraging Optimization Algorithm},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {46},
	number = {4},
	pages = {18-23},
	month = {May},
	note = {Full text available}
}

Abstract

For the last few decades, algorithms like Genetic Algorithms, Evolutionary Programming, and Evolutionary Strategies etc. are being used for optimization of various problems. Nowadays various swarm inspired algorithms have replaced them. Bacterial Foraging Optimization (BFO) is the latest among these algorithms. It has been widely accepted as global optimization technique due to its ease of implementation. In this paper we analyzed chemotactic behavior of bacteria by minimizing various mathematical benchmark functions. MATLAB simulations of these functions for different step sizes are shown in graphical form. Work is concluded by discussing the effect of varying step size on chemotactic movement of bacteria.

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