期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2012
卷号：2
期号：2
页码：55-59
出版社：International Journal of Soft Computing & Engineering
摘要：Bacterial Foraging optimization (BFO) is a swarm intelligence technique used to solve problem in power systems. The algorithm is based on the group foraging behaviour of Escherichia coli (E-Coli) bacteria present in human intestine. This social foraging behaviour of E.coli bacteria has been used to solve optimization problems. In this paper, an overview of the biology of bacterial foraging and the pseudo-code that models this process also explained. This paper presents a novel BFO to solve Economic Load Dispatch (ELD) problems. The results are obtained for a test system with three and thirteen generating units. In this paper the performance of the BFO is compared with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The results clearly show that the proposed method gives better optimal solution as compared to the other methods.
