{"title":"基于蚁群算法的多智能体供应链管理研究","authors":"Xianglei Zhao, Houkuan Huang, Chong Shao","doi":"10.1109/IEEC.2010.5533241","DOIUrl":null,"url":null,"abstract":"Supply chain management has become a very important economic topic. In this paper, we use multi-agent system to solve this problem. But how to control the supply chain links in the various details and how to manage the supply chain optimization effectively is a very difficult issue. We use ant colony optimization algorithm and rational multi-agent model of supply chain management to solve the supply chain management problem effectively. The experiment shows this method is better than normal method.","PeriodicalId":307678,"journal":{"name":"2010 2nd International Symposium on Information Engineering and Electronic Commerce","volume":"80 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Supply Chain Management Using Multi-Agent System Based on Ant Colony Algorithm\",\"authors\":\"Xianglei Zhao, Houkuan Huang, Chong Shao\",\"doi\":\"10.1109/IEEC.2010.5533241\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Supply chain management has become a very important economic topic. In this paper, we use multi-agent system to solve this problem. But how to control the supply chain links in the various details and how to manage the supply chain optimization effectively is a very difficult issue. We use ant colony optimization algorithm and rational multi-agent model of supply chain management to solve the supply chain management problem effectively. The experiment shows this method is better than normal method.\",\"PeriodicalId\":307678,\"journal\":{\"name\":\"2010 2nd International Symposium on Information Engineering and Electronic Commerce\",\"volume\":\"80 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Symposium on Information Engineering and Electronic Commerce\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEC.2010.5533241\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Symposium on Information Engineering and Electronic Commerce","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEC.2010.5533241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Supply Chain Management Using Multi-Agent System Based on Ant Colony Algorithm
Supply chain management has become a very important economic topic. In this paper, we use multi-agent system to solve this problem. But how to control the supply chain links in the various details and how to manage the supply chain optimization effectively is a very difficult issue. We use ant colony optimization algorithm and rational multi-agent model of supply chain management to solve the supply chain management problem effectively. The experiment shows this method is better than normal method.