{"title":"基于遗传算法的学校分配p中值模型多目标优化方法","authors":"C. M. Xavier, M. Costa, C. Filho","doi":"10.5753/SEMISH.2017.3365","DOIUrl":null,"url":null,"abstract":"This paper proposes a new methodology for a multi parameter approach using the p-median. The optimized solution must fulfill the following criteria: It must minimize distances between cities without a university to a city that has a university; It must prioritize cities with a higher population; It must prioritize cities with a lower United Nation Human Development Index. The use of a multiparametric approach was only possible by introducing the concept of a generalized distance. The results compare the existing distribution of campuses of the Federal system with the best location resulting from the multi parameter method proposed here. Locations for expansion of the current established university in Amazonas State, Brazil, are proposed.","PeriodicalId":231494,"journal":{"name":"A Abrangência da Ciência da Computação na Atualidade","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A NEW MULTI OBJECTIVE APPROACH FOR OPTIMIZING P-MEDIAN MODELING IN SCHOOL ALLOCATION USING GENETIC ALGORITHM\",\"authors\":\"C. M. Xavier, M. Costa, C. Filho\",\"doi\":\"10.5753/SEMISH.2017.3365\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new methodology for a multi parameter approach using the p-median. The optimized solution must fulfill the following criteria: It must minimize distances between cities without a university to a city that has a university; It must prioritize cities with a higher population; It must prioritize cities with a lower United Nation Human Development Index. The use of a multiparametric approach was only possible by introducing the concept of a generalized distance. The results compare the existing distribution of campuses of the Federal system with the best location resulting from the multi parameter method proposed here. Locations for expansion of the current established university in Amazonas State, Brazil, are proposed.\",\"PeriodicalId\":231494,\"journal\":{\"name\":\"A Abrangência da Ciência da Computação na Atualidade\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"A Abrangência da Ciência da Computação na Atualidade\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5753/SEMISH.2017.3365\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"A Abrangência da Ciência da Computação na Atualidade","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/SEMISH.2017.3365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A NEW MULTI OBJECTIVE APPROACH FOR OPTIMIZING P-MEDIAN MODELING IN SCHOOL ALLOCATION USING GENETIC ALGORITHM
This paper proposes a new methodology for a multi parameter approach using the p-median. The optimized solution must fulfill the following criteria: It must minimize distances between cities without a university to a city that has a university; It must prioritize cities with a higher population; It must prioritize cities with a lower United Nation Human Development Index. The use of a multiparametric approach was only possible by introducing the concept of a generalized distance. The results compare the existing distribution of campuses of the Federal system with the best location resulting from the multi parameter method proposed here. Locations for expansion of the current established university in Amazonas State, Brazil, are proposed.