{"title":"遗传算法与非线性模糊规划在流域水污染控制中的应用","authors":"N. Chang, H.W. Chen","doi":"10.1109/AFSS.1996.583595","DOIUrl":null,"url":null,"abstract":"This paper presents a modified formulation of a fuzzy multiobjective programming model in order to illustrate the tendency of nonlinearity in many environmental problems. The genetic algorithm is described as a tool to solve a typical water pollution control problem.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"The application of genetic algorithm and nonlinear fuzzy programming for water pollution control in a river basin\",\"authors\":\"N. Chang, H.W. Chen\",\"doi\":\"10.1109/AFSS.1996.583595\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a modified formulation of a fuzzy multiobjective programming model in order to illustrate the tendency of nonlinearity in many environmental problems. The genetic algorithm is described as a tool to solve a typical water pollution control problem.\",\"PeriodicalId\":197019,\"journal\":{\"name\":\"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AFSS.1996.583595\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AFSS.1996.583595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The application of genetic algorithm and nonlinear fuzzy programming for water pollution control in a river basin
This paper presents a modified formulation of a fuzzy multiobjective programming model in order to illustrate the tendency of nonlinearity in many environmental problems. The genetic algorithm is described as a tool to solve a typical water pollution control problem.