{"title":"A hybrid Harmony search algorithm with variable neighbourhood search for the bin-packing problem","authors":"M. Castelli, L. Vanneschi","doi":"10.1109/NABIC.2014.6921849","DOIUrl":null,"url":null,"abstract":"This paper proposes a hybrid Harmony Search algorithm for the bin-packing problem. The bin-packing problem is a well-known NP-Hard optimization problem. The proposed algorithm (called BPHS) combines a harmony search algorithm, that employs a tournament selection in the generation of new candidate solutions, with a variable neighbourhood search to improve the exploitation ability of the algorithm. The BPHS algorithm has been successfully applied to different instances of the bin-packing problem and it is able to find optimal or near-optimal solutions.","PeriodicalId":209716,"journal":{"name":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NABIC.2014.6921849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper proposes a hybrid Harmony Search algorithm for the bin-packing problem. The bin-packing problem is a well-known NP-Hard optimization problem. The proposed algorithm (called BPHS) combines a harmony search algorithm, that employs a tournament selection in the generation of new candidate solutions, with a variable neighbourhood search to improve the exploitation ability of the algorithm. The BPHS algorithm has been successfully applied to different instances of the bin-packing problem and it is able to find optimal or near-optimal solutions.