{"title":"Application of parallel hybrid algorithm in the optimization technique","authors":"A. Jordan, S. Ozawa, Marek Rulak","doi":"10.1109/PCEE.2002.1115286","DOIUrl":null,"url":null,"abstract":"The hybrid algorithm presented in the paper illustrates a coupling of the genetic algorithm method with the gradient method without constraints. The parallel implementation of a hybrid algorithm, which consists of the genetic algorithm and Gaussian elimination method is presented.","PeriodicalId":444003,"journal":{"name":"Proceedings. International Conference on Parallel Computing in Electrical Engineering","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Parallel Computing in Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCEE.2002.1115286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The hybrid algorithm presented in the paper illustrates a coupling of the genetic algorithm method with the gradient method without constraints. The parallel implementation of a hybrid algorithm, which consists of the genetic algorithm and Gaussian elimination method is presented.