Sergio Salazar , Oscar Cordón , J. Manuel Colmenar
{"title":"可变尺寸平面p中值问题的高效启发式算法","authors":"Sergio Salazar , Oscar Cordón , J. Manuel Colmenar","doi":"10.1016/j.asoc.2025.113401","DOIUrl":null,"url":null,"abstract":"<div><div>The location of obnoxious facilities is an optimization problem with a large social impact. Specifically, the obnoxious facility location problem in the plane with variable sizes (OPPMVS) studies the location of facilities considering that the obnoxious effect is transmitted through the air and depends on the production or service of the facility. In this work, a memetic algorithm is proposed in which the generation of the initial population and the genetic operators have been specifically designed for the target problem. In this approximation of this continuous problem, competitive results have been obtained compared with the state-of-the-art. The proposal has been tested in 21 problem instances provided by the original authors, obtaining the best results in 14 of them with a total deviation of 0.07%. This performance is obtained in an average execution time of 22 s, which improves the best state-of-the-art algorithm by one order of magnitude. These results have been validated with statistical tests.</div></div>","PeriodicalId":50737,"journal":{"name":"Applied Soft Computing","volume":"181 ","pages":"Article 113401"},"PeriodicalIF":7.2000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient heuristics for the obnoxious planar p-median problem with variable sizes\",\"authors\":\"Sergio Salazar , Oscar Cordón , J. Manuel Colmenar\",\"doi\":\"10.1016/j.asoc.2025.113401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The location of obnoxious facilities is an optimization problem with a large social impact. Specifically, the obnoxious facility location problem in the plane with variable sizes (OPPMVS) studies the location of facilities considering that the obnoxious effect is transmitted through the air and depends on the production or service of the facility. In this work, a memetic algorithm is proposed in which the generation of the initial population and the genetic operators have been specifically designed for the target problem. In this approximation of this continuous problem, competitive results have been obtained compared with the state-of-the-art. The proposal has been tested in 21 problem instances provided by the original authors, obtaining the best results in 14 of them with a total deviation of 0.07%. This performance is obtained in an average execution time of 22 s, which improves the best state-of-the-art algorithm by one order of magnitude. These results have been validated with statistical tests.</div></div>\",\"PeriodicalId\":50737,\"journal\":{\"name\":\"Applied Soft Computing\",\"volume\":\"181 \",\"pages\":\"Article 113401\"},\"PeriodicalIF\":7.2000,\"publicationDate\":\"2025-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Soft Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1568494625007124\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Soft Computing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1568494625007124","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Efficient heuristics for the obnoxious planar p-median problem with variable sizes
The location of obnoxious facilities is an optimization problem with a large social impact. Specifically, the obnoxious facility location problem in the plane with variable sizes (OPPMVS) studies the location of facilities considering that the obnoxious effect is transmitted through the air and depends on the production or service of the facility. In this work, a memetic algorithm is proposed in which the generation of the initial population and the genetic operators have been specifically designed for the target problem. In this approximation of this continuous problem, competitive results have been obtained compared with the state-of-the-art. The proposal has been tested in 21 problem instances provided by the original authors, obtaining the best results in 14 of them with a total deviation of 0.07%. This performance is obtained in an average execution time of 22 s, which improves the best state-of-the-art algorithm by one order of magnitude. These results have been validated with statistical tests.
期刊介绍:
Applied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems.The focus is to publish the highest quality research in application and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Rough Sets and other similar techniques to address real world complexities.
Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short.