[1]杨树欣[],李盼池[]. 和声搜索算法的改进研究[J].计算机技术与发展,2015,25(04):93-97.
　YANG Shu-xin[],LI Pan-chi[]. Research on Improvement of Harmony Search Algorithm[J].,2015,25(04):93-97.
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 和声搜索算法的改进研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年04期
页码:
93-97
栏目:
智能、算法、系统工程
出版日期:
2015-04-10

文章信息/Info

Title:
 Research on Improvement of Harmony Search Algorithm
文章编号:
1673-629X（2015)04-0093-05
作者:
 杨树欣[1]; 李盼池[2]
 1.解放军第302医院 医学工程保障管理中心；2.东北石油大学 计算机与信息技术学院
Author(s):
 YANG Shu-xin[1] ; LI Pan-chi[2]
关键词:
 ; 智能计算; 智能优化; 和声搜索; 算法设计
Keywords:
 ; intelligent computation; intelligent optimization; harmony search; algorithm design
分类号:
TP183
文献标志码:
A
摘要:
 由于传统和声搜索算法每次迭代只生成一个和声向量，因此搜索能力受到限制。针对这一问题，提出一种改进的和声搜索算法。在改进的方法中，每次迭代首先生成与种群规模相同的和声向量，然后放入和声记忆库中并按适应度从高到低排序，最后取前一半个体进入下一代种群。实验结果表明，改进算法不仅在相同迭代步数下明显优于原算法，而且在相同运行时间下也明显优于原算法，从而揭示出该算法能有效地提取种群中的优良个体特征，获得满意的优化结果。
Abstract:
 The only one harmony vector is obtained in each of iteration in classical harmony search algorithm,which affects its search abil-ity. In view of this,propose an improved harmony search algorithm in this paper. In this approach,an equivalent number of harmony vec-tors with population size are obtained in each of iteration,and the newly generated harmony vectors are put into the harmony memory ar-ray. Then,all harmony vectors are sorted according to the fitness from high to low,and the first half individuals are removed into the next generation of populations. Experimental results show that the proposed approach is obviously superior to the classical one under both the same number of iterations and the same running time,which reveals this approach can effectively extract the characteristics of excellent in-dividuals in the population and obtain the satisfactory optimization results.

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更新日期/Last Update: 2015-06-04