{"title":"具有最小距离约束的单设施选址问题","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":"{\"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}","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}
The single facility location problem with minimum distance constraints
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.