{"title":"应急资源调度模型与算法","authors":"Chuanhua Zeng, Yu Wu","doi":"10.1109/GCIS.2013.29","DOIUrl":null,"url":null,"abstract":"A reasonable allocation of emergency resources can decrease the effect area of the disaster, help victims in time, and reduce the disaster loss. It plays an important role in the whole process. In view of the urgency of transportation, this paper regards transport vehicles, goods and demand points as a network. Based on time windows, it presents a scheduling model for emergency resources with the shortest transportation distance as its goal and the vehicle load, the biggest trip mileage, the latest arrival time etc. as constraint conditions. The feasible solution can be found through ant colony algorithm, and the global search ability can be improved by using genetic algorithm. At last an example solved by ant colony algorithm and genetic algorithm is given to show the validity.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Emergency resources scheduling model & algorithm\",\"authors\":\"Chuanhua Zeng, Yu Wu\",\"doi\":\"10.1109/GCIS.2013.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A reasonable allocation of emergency resources can decrease the effect area of the disaster, help victims in time, and reduce the disaster loss. It plays an important role in the whole process. In view of the urgency of transportation, this paper regards transport vehicles, goods and demand points as a network. Based on time windows, it presents a scheduling model for emergency resources with the shortest transportation distance as its goal and the vehicle load, the biggest trip mileage, the latest arrival time etc. as constraint conditions. The feasible solution can be found through ant colony algorithm, and the global search ability can be improved by using genetic algorithm. At last an example solved by ant colony algorithm and genetic algorithm is given to show the validity.\",\"PeriodicalId\":366262,\"journal\":{\"name\":\"2013 Fourth Global Congress on Intelligent Systems\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth Global Congress on Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCIS.2013.29\",\"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.2013.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A reasonable allocation of emergency resources can decrease the effect area of the disaster, help victims in time, and reduce the disaster loss. It plays an important role in the whole process. In view of the urgency of transportation, this paper regards transport vehicles, goods and demand points as a network. Based on time windows, it presents a scheduling model for emergency resources with the shortest transportation distance as its goal and the vehicle load, the biggest trip mileage, the latest arrival time etc. as constraint conditions. The feasible solution can be found through ant colony algorithm, and the global search ability can be improved by using genetic algorithm. At last an example solved by ant colony algorithm and genetic algorithm is given to show the validity.