Research of Harmony Search Algorithm based on variable metric method
Harmony search algorithm is a good intelligent optimization algorithm,but it is not high robustness and large random.So combining variable metric method of the better local search ability,Harmony Search Algorithm based on variable metric method is proposed.Giving the theory of the basic harmony search algorithm and variable metric method,the specific processes of the improved algorithm is analyzed,through four test functions demonstrate the performance of the improved algorithm.The numerical experiments show that the means of the algorithm are better than other given algorithms in the text,and standard deviations are better than other algorithms.This shows the improved algorithm has the better optimization ability,good robustness,and the method is easy implemented,it has a good prospect in engineering.
intelligent algorithms variable metric method harmony search algorithm robustness
QI Wei LIU Xuwang
School of Business Administration,Henan University,Kaifeng 475004,China
国际会议
长沙
英文
1120-1123
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）