Zhongwei Xie, Lin Li, Yueqing Sun, Wangping Li, Guiming Xu
{"title":"城市紧急疏散战略","authors":"Zhongwei Xie, Lin Li, Yueqing Sun, Wangping Li, Guiming Xu","doi":"10.1109/BESC.2017.8256371","DOIUrl":null,"url":null,"abstract":"Along with social economy development, it is attached great significance to have a decision making system for emergency evacuation strategy. The paper mainly discusses about using Genetic Algorithm (GA) to search optimal evacuation strategy. The mathematical model is built based on scrupulous analysis of the traffic data and routing problem. By means of comparing experimental results of genetic algorithm, simulated annealing algorithm and particle swarm algorithm, it can be seen that genetic algorithm has the best performance and can figure out a better evacuation strategy in complex environment than the other two algorithms.","PeriodicalId":142098,"journal":{"name":"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Urban emergency evacuation strategy\",\"authors\":\"Zhongwei Xie, Lin Li, Yueqing Sun, Wangping Li, Guiming Xu\",\"doi\":\"10.1109/BESC.2017.8256371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Along with social economy development, it is attached great significance to have a decision making system for emergency evacuation strategy. The paper mainly discusses about using Genetic Algorithm (GA) to search optimal evacuation strategy. The mathematical model is built based on scrupulous analysis of the traffic data and routing problem. By means of comparing experimental results of genetic algorithm, simulated annealing algorithm and particle swarm algorithm, it can be seen that genetic algorithm has the best performance and can figure out a better evacuation strategy in complex environment than the other two algorithms.\",\"PeriodicalId\":142098,\"journal\":{\"name\":\"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BESC.2017.8256371\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BESC.2017.8256371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Along with social economy development, it is attached great significance to have a decision making system for emergency evacuation strategy. The paper mainly discusses about using Genetic Algorithm (GA) to search optimal evacuation strategy. The mathematical model is built based on scrupulous analysis of the traffic data and routing problem. By means of comparing experimental results of genetic algorithm, simulated annealing algorithm and particle swarm algorithm, it can be seen that genetic algorithm has the best performance and can figure out a better evacuation strategy in complex environment than the other two algorithms.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
