趋磁细菌优化算法的多模态优化

Hongwei Mo, Lifang Xu
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引用次数: 34

摘要

趋磁细菌(MTB)是一类多系原核生物,具有趋磁特性,使它们沿地磁线定向和游动。趋磁细菌是自然界经过长期进化优化的产物。本文从趋磁细菌的特性出发,研究了一种新的优化算法——趋磁细菌优化算法(MBOA)。并与经典遗传算法和一些较新的优化算法进行了比较。在10个标准的多模态函数问题上进行了测试。实验结果表明,该算法在优化问题上是有效的,性能优于其他算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Magnetotactic bacteria optimization algorithm for multimodal optimization
Magnetotactic bacteria (MTB) is a kind of polyphyletic group of prokaryotes with the characteristics of magnetotaxis that make them orient and swim along geomagnetic field lines. Magnetotactic bacteria is the optimized product of nature by long process of evolution. A new optimization algorithm called magnetotactic bacteria optimization algorithm (MBOA), which is inspired by the characteristics of magnetotactic bacteria is researched on multimodal problems in the paper. It is compared with classical genetic algorithm and some relatively new optimization algorithms. All of them are tested on 10 standard multimodal functions problems. The experiment results show that the proposed MBOA is effective in optimization problems and has better performance than the other algorithms.
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