{"title":"基于Agent的集装箱码头优化","authors":"Peng Yang, Sun Junqing","doi":"10.1109/CASE.2009.15","DOIUrl":null,"url":null,"abstract":"A distributed MAS (multi agent system) architecture for moveable port resource operation has been presented in the paper, which builds upon elements from decentralized strategies. The system provides a feasible optimization solution to the problem due to its inherent complexity. Under such solution, an intelligent planning algorithm is continuously optimized by the dynamic and co-operative rescheduling of yard resources","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Agent Based Container Terminal Optimization\",\"authors\":\"Peng Yang, Sun Junqing\",\"doi\":\"10.1109/CASE.2009.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A distributed MAS (multi agent system) architecture for moveable port resource operation has been presented in the paper, which builds upon elements from decentralized strategies. The system provides a feasible optimization solution to the problem due to its inherent complexity. Under such solution, an intelligent planning algorithm is continuously optimized by the dynamic and co-operative rescheduling of yard resources\",\"PeriodicalId\":294566,\"journal\":{\"name\":\"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CASE.2009.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE.2009.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A distributed MAS (multi agent system) architecture for moveable port resource operation has been presented in the paper, which builds upon elements from decentralized strategies. The system provides a feasible optimization solution to the problem due to its inherent complexity. Under such solution, an intelligent planning algorithm is continuously optimized by the dynamic and co-operative rescheduling of yard resources