{"title":"An improved fast harmony search algorithm for identification of hydrogeological parameters","authors":"Q. Luo, Jianfeng Wu, Yun Yang","doi":"10.1109/ICNC.2011.6022401","DOIUrl":null,"url":null,"abstract":"This paper develops an improved fast harmony search (IFHS) algorithm for solving optimization problems. The proposed IFHS algorithm employs novel methods for generating new solution vectors and expanding the scale of new solution vectors to enhance accuracy and convergence rate of harmony search (HS) algorithm. Moreover, the IFHS algorithm combined with MODFLOW is successfully used to solve the problem of hydrogeological parameters identification. The results show that the proposed algorithm, compared with other heuristic methods, has more powerful ability of global searching and faster convergence rate for complex parameter identification problems of groundwater systems.","PeriodicalId":299503,"journal":{"name":"2011 Seventh International Conference on Natural Computation","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Seventh International Conference on Natural Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2011.6022401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper develops an improved fast harmony search (IFHS) algorithm for solving optimization problems. The proposed IFHS algorithm employs novel methods for generating new solution vectors and expanding the scale of new solution vectors to enhance accuracy and convergence rate of harmony search (HS) algorithm. Moreover, the IFHS algorithm combined with MODFLOW is successfully used to solve the problem of hydrogeological parameters identification. The results show that the proposed algorithm, compared with other heuristic methods, has more powerful ability of global searching and faster convergence rate for complex parameter identification problems of groundwater systems.