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一种新的智能优化及其改进研究
引用本文:赵鹏军,刘三阳.一种新的智能优化及其改进研究[J].小型微型计算机系统,2010,31(5).
作者姓名:赵鹏军  刘三阳
作者单位:1. 商洛学院,数学系,陕西,商洛,726000;西安电子科技大学,理学院,陕西,西安,710071
2. 西安电子科技大学,理学院,陕西,西安,710071
摘    要:研究了一种新的进化算法-和声搜索(HS)算法,针对其在处理复杂函数优化问题时容易陷入局部最优、收敛精度低的缺点,提出一种改进的和声搜索算法,算法在保留和声搜索的搜索机理的同时,把混合蛙跳算法中的局部搜索策略引入其中,维持了和声库的多样性,从而提高了对复杂问题的搜索效率.与同类算法相比,本文提出的和声搜索算法全局搜索能力强,收敛速度快,数值实验结果验证了算法的有效性和鲁棒性.

关 键 词:和声搜索  混合蛙跳算法  智能优化  复杂函数

Novel Intelligent Optimization Algorithm and its Improvement
ZHAO Peng-jun,LIU San-yang.Novel Intelligent Optimization Algorithm and its Improvement[J].Mini-micro Systems,2010,31(5).
Authors:ZHAO Peng-jun  LIU San-yang
Affiliation:ZHAO Peng-jun1,2,LIU San-yang1 1(Department of Mathematics,Shanglue University,Shanglue 726000,China)2 (School of Science,Xidian University,Xi\'an 710071,China)
Abstract:A novel evolutionary algorithm,Harmony Search,is studied. it trapped into local optima easily and had a low convergence accuracy when it was used to address complex functions,in order to overcome the shortcomings,an improved HS algorithm is proposed.. With the main search mechanism of HS algorithm,the proposed algorithm integrates the strategy of local search in the Shuffled Frog Leaping Algorithm (SFLA) into HS algorithm and thus maintains the diversity of harmony memory,and enhances the efficiency of sear...
Keywords:harmony search  shuffled frog leaping algorithm  intelligent optimization  complex functions  
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