{"title":"A heuristic approach for the discrete dynamic location problem","authors":"Francisco Saldanha da Gama, Maria Eugénia Captivo","doi":"10.1016/S0966-8349(98)00061-8","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper a two-phase heuristic approach for the discrete dynamic location problem with establishment and removal costs is presented. The first phase consists of a drop procedure. In the second phase, a local search is performed as an attempt to correct bad decisions that might have been made. Computational tests with random generated data are presented in order to evaluate the heuristic performance, and compare it with a well-known procedure already in existence for solving the problem. Different alternatives analyzed when developing the heuristic are also mentioned. Finally, CPLEX execution times for solving the problem are presented.</p></div>","PeriodicalId":100880,"journal":{"name":"Location Science","volume":"6 1","pages":"Pages 211-223"},"PeriodicalIF":0.0000,"publicationDate":"1998-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0966-8349(98)00061-8","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Location Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0966834998000618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 35
Abstract
In this paper a two-phase heuristic approach for the discrete dynamic location problem with establishment and removal costs is presented. The first phase consists of a drop procedure. In the second phase, a local search is performed as an attempt to correct bad decisions that might have been made. Computational tests with random generated data are presented in order to evaluate the heuristic performance, and compare it with a well-known procedure already in existence for solving the problem. Different alternatives analyzed when developing the heuristic are also mentioned. Finally, CPLEX execution times for solving the problem are presented.