{"title":"基于遗传算法的商场从多供应商中选择优品模型","authors":"Liu Bao-zheng, Wang Ding-wei","doi":"10.1109/CCDC.2010.5498483","DOIUrl":null,"url":null,"abstract":"The stock optimization problem of the key enterprise of commodity vendition type is researched in this paper. Aim at the logistics key enterprise having many provider, the commodity stock optimization evaluating system of multiple objectives is upbuilt, and the fuzzy optimization model is founded. The Genetic Algorithm is fetched in to solve model. By cutting-set guide line, we get the satisfaction solution. Through example the model application is more explained. The method foundation is offered for the enterprise of commodity vendition type.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A model of the emporium selecting the superior from multi-vendor based on genetic algorithms\",\"authors\":\"Liu Bao-zheng, Wang Ding-wei\",\"doi\":\"10.1109/CCDC.2010.5498483\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The stock optimization problem of the key enterprise of commodity vendition type is researched in this paper. Aim at the logistics key enterprise having many provider, the commodity stock optimization evaluating system of multiple objectives is upbuilt, and the fuzzy optimization model is founded. The Genetic Algorithm is fetched in to solve model. By cutting-set guide line, we get the satisfaction solution. Through example the model application is more explained. The method foundation is offered for the enterprise of commodity vendition type.\",\"PeriodicalId\":227938,\"journal\":{\"name\":\"2010 Chinese Control and Decision Conference\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Chinese Control and Decision Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2010.5498483\",\"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 Chinese Control and Decision Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2010.5498483","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A model of the emporium selecting the superior from multi-vendor based on genetic algorithms
The stock optimization problem of the key enterprise of commodity vendition type is researched in this paper. Aim at the logistics key enterprise having many provider, the commodity stock optimization evaluating system of multiple objectives is upbuilt, and the fuzzy optimization model is founded. The Genetic Algorithm is fetched in to solve model. By cutting-set guide line, we get the satisfaction solution. Through example the model application is more explained. The method foundation is offered for the enterprise of commodity vendition type.