{"title":"热液系统运行规划的遗传算子设置","authors":"P. Leite, A. Carneiro, A. Carvalho","doi":"10.1109/SBRN.2002.1181453","DOIUrl":null,"url":null,"abstract":"This paper presents a study of genetic operators used in the operation planning of hydrothermal systems. Such investigation was necessary to define the influence and rate for each genetic operator on the resolution of this problem. In order to adjust genetic algorithms to the problem investigated several traditional genetic operators were adapted. The developed algorithm was applied in real hydrothermal systems, with plants belonging to the Brazilian Southeast system.","PeriodicalId":157186,"journal":{"name":"VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Genetic operators setting for the operation planning of hydrothermal systems\",\"authors\":\"P. Leite, A. Carneiro, A. Carvalho\",\"doi\":\"10.1109/SBRN.2002.1181453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a study of genetic operators used in the operation planning of hydrothermal systems. Such investigation was necessary to define the influence and rate for each genetic operator on the resolution of this problem. In order to adjust genetic algorithms to the problem investigated several traditional genetic operators were adapted. The developed algorithm was applied in real hydrothermal systems, with plants belonging to the Brazilian Southeast system.\",\"PeriodicalId\":157186,\"journal\":{\"name\":\"VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings.\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SBRN.2002.1181453\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBRN.2002.1181453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Genetic operators setting for the operation planning of hydrothermal systems
This paper presents a study of genetic operators used in the operation planning of hydrothermal systems. Such investigation was necessary to define the influence and rate for each genetic operator on the resolution of this problem. In order to adjust genetic algorithms to the problem investigated several traditional genetic operators were adapted. The developed algorithm was applied in real hydrothermal systems, with plants belonging to the Brazilian Southeast system.
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