Bacterial foraging optimization algorithm: A derivative free technique

Nitin Kumar Jhankal, D. Adhyaru
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引用次数: 26

Abstract

Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for optimization and control. BFOA is inspired by the social foraging behaviour of Escherichia coli. BFOA has already drawn the attention of researchers because of its efficiency in solving real-world optimization problems arising in several application domains. In present paper, a detailed explanation of this algorithm is given. Comparative analysis of BFOA with Genetic Algorithm (GA) is presented.
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细菌觅食优化算法:一种无导数技术
细菌觅食优化算法(Bacterial foraging optimization algorithm, BFOA)作为一种当前备受关注的全局优化算法已被广泛接受。BFOA的灵感来自大肠杆菌的群居觅食行为。BFOA因其在解决现实世界中多个应用领域中出现的优化问题方面的有效性而引起了研究人员的关注。本文对该算法进行了详细的说明。对BFOA算法与遗传算法进行了比较分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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