细菌协同觅食的优化研究

Y. Shao, Hanning Chen
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引用次数: 13

摘要

细菌觅食优化算法(BFO)是一种基于大肠杆菌群体觅食行为的优化算法。本文提出了一种对原BFO算法的改进,即合作细菌觅食优化算法(Cooperative Bacterial Foraging Optimization, CBFO),该算法在解决复杂优化问题时显著改进了原BFO算法。将隐式空间分解层次上的串行异构协作和混合空间分解层次上的串行异构协作两种协作方法应用于原BFO实现了显著的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Optimization of Cooperative Bacterial Foraging
Bacterial Foraging Optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria. This paper presents a variation on the original BFO algorithm, namely the Cooperative Bacterial Foraging Optimization (CBFO), which significantly improve the original BFO in solving complex optimization problems. This significant improvement is achieved by applying two cooperative approaches to the original BFO, namely the serial heterogeneous cooperation on the implicit space decomposition level and the serial heterogeneous cooperation on the hybrid space decomposition level.
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