{"title":"环境经济调度的自适应多目标差分进化算法","authors":"Zhong Lin, T. Chiang, Chen-Yu Lee","doi":"10.1109/IIAI-AAI.2017.26","DOIUrl":null,"url":null,"abstract":"The environmental/economic dispatch (EED) problem aims to allocate power generation units to meet power demand and minimize both fuel cost and emission of gaseous pollutants simultaneously. In this paper we apply differential evolution (DE) to solve EED. Two parameters of DE, CR and F, have significant influence on its performance. We control the parameter values by four mechanisms. Performance of the proposed algorithms is verified by comparing with the state of the arts using four public test systems.","PeriodicalId":281712,"journal":{"name":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Adaptive Multiobjective Differential Evolution Algorithms for Environmental/Economic Dispatch\",\"authors\":\"Zhong Lin, T. Chiang, Chen-Yu Lee\",\"doi\":\"10.1109/IIAI-AAI.2017.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The environmental/economic dispatch (EED) problem aims to allocate power generation units to meet power demand and minimize both fuel cost and emission of gaseous pollutants simultaneously. In this paper we apply differential evolution (DE) to solve EED. Two parameters of DE, CR and F, have significant influence on its performance. We control the parameter values by four mechanisms. Performance of the proposed algorithms is verified by comparing with the state of the arts using four public test systems.\",\"PeriodicalId\":281712,\"journal\":{\"name\":\"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIAI-AAI.2017.26\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2017.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive Multiobjective Differential Evolution Algorithms for Environmental/Economic Dispatch
The environmental/economic dispatch (EED) problem aims to allocate power generation units to meet power demand and minimize both fuel cost and emission of gaseous pollutants simultaneously. In this paper we apply differential evolution (DE) to solve EED. Two parameters of DE, CR and F, have significant influence on its performance. We control the parameter values by four mechanisms. Performance of the proposed algorithms is verified by comparing with the state of the arts using four public test systems.