{"title":"基于蚁群优化和广义距离的应急救援VRP研究","authors":"Xiaoyong Tan, Yongmei Ren","doi":"10.1109/GCIS.2013.15","DOIUrl":null,"url":null,"abstract":"This paper defines a generalized distance index which reflects the comprehensive factors or multiple objectives in emergency rescue, and presents an improved model of emergency rescue VRP based on the generalized distance, after this discusses several kinds of algorithms based on ant colony optimization. From the methods, research results would better suit the characteristics and requirements of emergency rescue.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Study on the Emergency Rescue VRP Based on Ant Colony Optimization and Generalized Distance\",\"authors\":\"Xiaoyong Tan, Yongmei Ren\",\"doi\":\"10.1109/GCIS.2013.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper defines a generalized distance index which reflects the comprehensive factors or multiple objectives in emergency rescue, and presents an improved model of emergency rescue VRP based on the generalized distance, after this discusses several kinds of algorithms based on ant colony optimization. From the methods, research results would better suit the characteristics and requirements of emergency rescue.\",\"PeriodicalId\":366262,\"journal\":{\"name\":\"2013 Fourth Global Congress on Intelligent Systems\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth Global Congress on Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCIS.2013.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth Global Congress on Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCIS.2013.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on the Emergency Rescue VRP Based on Ant Colony Optimization and Generalized Distance
This paper defines a generalized distance index which reflects the comprehensive factors or multiple objectives in emergency rescue, and presents an improved model of emergency rescue VRP based on the generalized distance, after this discusses several kinds of algorithms based on ant colony optimization. From the methods, research results would better suit the characteristics and requirements of emergency rescue.