{"title":"模糊自适应遗传算法在电站无功补偿优化中的应用","authors":"Xiao Li","doi":"10.1109/ISCCS.2011.66","DOIUrl":null,"url":null,"abstract":"Power station reactive power compensation optimization model has been optimized based on fuzzy adaptive genetic algorithm. Through examples of computer simulation, the minimum compensation for reactive power compensation optimization of power station is searched effectively. The results show that it is accord with actual application, which indicates that it is feasible of adaptive genetic algorithm applying in agricultural engineering optimization design.","PeriodicalId":326328,"journal":{"name":"2011 International Symposium on Computer Science and Society","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of Fuzzy Adaptive Genetic Algorithm in Reactive Power Compensation Optimization of Power Station\",\"authors\":\"Xiao Li\",\"doi\":\"10.1109/ISCCS.2011.66\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power station reactive power compensation optimization model has been optimized based on fuzzy adaptive genetic algorithm. Through examples of computer simulation, the minimum compensation for reactive power compensation optimization of power station is searched effectively. The results show that it is accord with actual application, which indicates that it is feasible of adaptive genetic algorithm applying in agricultural engineering optimization design.\",\"PeriodicalId\":326328,\"journal\":{\"name\":\"2011 International Symposium on Computer Science and Society\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Symposium on Computer Science and Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCCS.2011.66\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Symposium on Computer Science and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCCS.2011.66","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Fuzzy Adaptive Genetic Algorithm in Reactive Power Compensation Optimization of Power Station
Power station reactive power compensation optimization model has been optimized based on fuzzy adaptive genetic algorithm. Through examples of computer simulation, the minimum compensation for reactive power compensation optimization of power station is searched effectively. The results show that it is accord with actual application, which indicates that it is feasible of adaptive genetic algorithm applying in agricultural engineering optimization design.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
