{"title":"Research of Harmony Search Algorithm based on variable metric method","authors":"Wei Qi, Xuwang Liu","doi":"10.1109/CCDC.2014.6852333","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 26th Chinese Control and Decision Conference (2014 CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2014.6852333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.