{"title":"Improved differential evolution optimization algorithm for the design of a brushless dc wheel motor","authors":"L. dos Santos Coelho, V. Mariani, P. Alotto","doi":"10.1109/CEFC.2010.5481325","DOIUrl":null,"url":null,"abstract":"Differential evolution is an evolutionary algorithm over continuous spaces which incorporates an efficient way of self-adapting mutation using small populations. This paper uses a brushless DC wheel motor benchmark problem to investigate the performance of Differential Evolution. Results are competitive with those of other optimization methods.","PeriodicalId":148739,"journal":{"name":"Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEFC.2010.5481325","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
Differential evolution is an evolutionary algorithm over continuous spaces which incorporates an efficient way of self-adapting mutation using small populations. This paper uses a brushless DC wheel motor benchmark problem to investigate the performance of Differential Evolution. Results are competitive with those of other optimization methods.