{"title":"The single facility location problem with minimum distance constraints","authors":"Yael Konforty, Arie Tamir","doi":"10.1016/S0966-8349(98)00032-1","DOIUrl":null,"url":null,"abstract":"<div><p>We consider the problem of locating a single facility (server) in the plane, where the location of the facility is restricted to be outside a specified forbidden region (neighborhood) around each demand point. Two models are discussed. In the restricted 1-median model, the objective is to minimize the sum of the weighted rectilinear distances from the <em>n</em> customers to the facility. We present an <em>O</em>(<em>n</em> <em>log</em> <em>n</em>) algorithm for this model, improving upon the <em>O</em>(<em>n</em><sup>3</sup>) complexity bound of the algorithm by Brimberg and Wesolowsky (1995). In the restricted 1-center model the objective is to minimize the maximum of the weighted rectilinear distances between the customers and the serving facility. We present an <em>O</em>(<em>n</em> <em>log</em> <em>n</em>) algorithm for finding an optimal 1-center. We also discuss some related models, involving the Euclidean norm.</p></div>","PeriodicalId":100880,"journal":{"name":"Location Science","volume":"5 3","pages":"Pages 147-163"},"PeriodicalIF":0.0000,"publicationDate":"1997-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0966-8349(98)00032-1","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Location Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0966834998000321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
We consider the problem of locating a single facility (server) in the plane, where the location of the facility is restricted to be outside a specified forbidden region (neighborhood) around each demand point. Two models are discussed. In the restricted 1-median model, the objective is to minimize the sum of the weighted rectilinear distances from the n customers to the facility. We present an O(nlogn) algorithm for this model, improving upon the O(n3) complexity bound of the algorithm by Brimberg and Wesolowsky (1995). In the restricted 1-center model the objective is to minimize the maximum of the weighted rectilinear distances between the customers and the serving facility. We present an O(nlogn) algorithm for finding an optimal 1-center. We also discuss some related models, involving the Euclidean norm.