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菌群优化算法分析
引用本文:李亚楠.菌群优化算法分析[J].贵州大学学报(自然科学版),2011,28(2):83-86.
作者姓名:李亚楠
作者单位:贵州高速公路开发总公司,贵州贵阳,550004
摘    要:菌群优化算法虽然有诸多优点,但因算法较新而使得其适用范围有待进一步明确。本文通过对简单非线性模型、典型非线性模型以及复杂非线性模型的仿真,验证了该算法的有效性并对算法进行了分析。通过实际算例的仿真结果确定了该算法不适合运用于无显著峰谷的非线性优化问题的求解上,并在此基础上对该算法的特性通过仿真结果进行了分析。

关 键 词:菌群优化算法  非线性模型  仿真

An analysis of Bacterial Foraging Optimization Algorithm
LI Ya-nan.An analysis of Bacterial Foraging Optimization Algorithm[J].Journal of Guizhou University(Natural Science),2011,28(2):83-86.
Authors:LI Ya-nan
Institution:LI Ya-nan(Guizhou Expressway Development Corporation,Guiyang 550004,China)
Abstract:Despite great deal of advantages,the application of BFO algorithm remains to be further studied for its novelty.Via simulation on simple nonlinear model,typical nonlinear model and complex nonlinear model,the results verify the effectiveness of the method and are analyzed.Besides,the simulation on practical example shows that BFO algorithm could not be applied to solving optimization problems with inconspicuous peaks or valleys,and the characteristics of the algorithm is also analyzed based on the results.
Keywords:bacterial foraging optimization algorithm  nonlinear model  simulation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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