基于遗传算法的学校分配p中值模型多目标优化方法

C. M. Xavier, M. Costa, C. Filho
{"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}
引用次数: 0

摘要

本文提出了一种使用p中值的多参数方法。优化后的解决方案必须满足以下标准:它必须使没有大学的城市与有大学的城市之间的距离最小;它必须优先考虑人口较多的城市;它必须优先考虑联合国人类发展指数较低的城市。只有引入广义距离的概念,才有可能使用多参数方法。结果将联邦系统的现有校园分布与本文提出的多参数方法得到的最佳位置进行了比较。提出了在巴西亚马逊州扩建现有大学的地点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信