计算机科学 ›› 2014, Vol. 41 ›› Issue (6): 235-238.doi: 10.11896/j.issn.1002-137X.2014.06.046
贺毅朝,李宁,李文斌
HE Yi-chao,LI Ning and LI Wen-bin
摘要： 借鉴秋蝉鸣叫中表现出的某种同步化以及蝉的生活习性提出了一种新的仿生优化算法:蝉鸣优化(CSO),分析并指出了CSO除具有一般进化算法的特性外还具有两点独特的特性,并基于有限Markov链理论证明了CSO的渐近收敛性。利用CSO、PSO和DE对9个高维Benchmark函数的仿真计算比较表明:CSO是一种非常适于求解数值最优化问题的进化算法。
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