{"title":"混合约束问题的优化求解方法","authors":"Xiaohui Ji, Zhuo Huang","doi":"10.1109/ICICISYS.2010.5658781","DOIUrl":null,"url":null,"abstract":"This paper presents a new method that solves a mixed constraints problem by transforming it into a mixed integer programming problem. The method builds the connection between the feasibility of a mixed constraint problem and the solution to a mixed integer programming problem. The correctness of this method is proven. This method will be beneficial for the further integration of constraint programming and optimization methods.","PeriodicalId":339711,"journal":{"name":"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization method for mixed constraints problem solving\",\"authors\":\"Xiaohui Ji, Zhuo Huang\",\"doi\":\"10.1109/ICICISYS.2010.5658781\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new method that solves a mixed constraints problem by transforming it into a mixed integer programming problem. The method builds the connection between the feasibility of a mixed constraint problem and the solution to a mixed integer programming problem. The correctness of this method is proven. This method will be beneficial for the further integration of constraint programming and optimization methods.\",\"PeriodicalId\":339711,\"journal\":{\"name\":\"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICISYS.2010.5658781\",\"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 IEEE International Conference on Intelligent Computing and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICISYS.2010.5658781","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization method for mixed constraints problem solving
This paper presents a new method that solves a mixed constraints problem by transforming it into a mixed integer programming problem. The method builds the connection between the feasibility of a mixed constraint problem and the solution to a mixed integer programming problem. The correctness of this method is proven. This method will be beneficial for the further integration of constraint programming and optimization methods.