基于改进差分进化优化算法的无刷直流轮式电机设计

Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation Pub Date : 2010-05-09 DOI:10.1109/CEFC.2010.5481325

L. dos Santos Coelho, V. Mariani, P. Alotto

{"title":"基于改进差分进化优化算法的无刷直流轮式电机设计","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":"{\"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}","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

摘要

差分进化是一种基于连续空间的进化算法，它结合了一种利用小种群进行自适应变异的有效方法。本文利用无刷直流轮式电机的基准问题来研究差分进化的性能。结果与其他优化方法相比具有一定的竞争力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Improved differential evolution optimization algorithm for the design of a brushless dc wheel motor

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation

自引率

0.00%

发文量