{"title":"大规模经济负荷调度问题的在线选择进化超启发式算法","authors":"E. Sopov, S. Videnin","doi":"10.1109/InfoTech.2019.8860884","DOIUrl":null,"url":null,"abstract":"The economic load dispatch (ELD) problem is known as a hard optimization problem in the field of power system planning and control. Evolutionary algorithms (EAs) have demonstrated high performance in solving ELD problems with the number of power generator up to 40, but they lose their efficiency with high dimensionalities. In this study, we have proposed and have estimated the performance of a selective hyperheuristic for the online synthesis of an optimization algorithm based on large-scale optimization approaches.","PeriodicalId":179336,"journal":{"name":"2019 International Conference on Information Technologies (InfoTech)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Online Selective Evolutionary Hyperheuristic for Large Scale Economic Load Dispatch Problem\",\"authors\":\"E. Sopov, S. Videnin\",\"doi\":\"10.1109/InfoTech.2019.8860884\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The economic load dispatch (ELD) problem is known as a hard optimization problem in the field of power system planning and control. Evolutionary algorithms (EAs) have demonstrated high performance in solving ELD problems with the number of power generator up to 40, but they lose their efficiency with high dimensionalities. In this study, we have proposed and have estimated the performance of a selective hyperheuristic for the online synthesis of an optimization algorithm based on large-scale optimization approaches.\",\"PeriodicalId\":179336,\"journal\":{\"name\":\"2019 International Conference on Information Technologies (InfoTech)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Information Technologies (InfoTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/InfoTech.2019.8860884\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Information Technologies (InfoTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/InfoTech.2019.8860884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online Selective Evolutionary Hyperheuristic for Large Scale Economic Load Dispatch Problem
The economic load dispatch (ELD) problem is known as a hard optimization problem in the field of power system planning and control. Evolutionary algorithms (EAs) have demonstrated high performance in solving ELD problems with the number of power generator up to 40, but they lose their efficiency with high dimensionalities. In this study, we have proposed and have estimated the performance of a selective hyperheuristic for the online synthesis of an optimization algorithm based on large-scale optimization approaches.
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