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文章基本信息

  • 标题:Industrial Optimization by Evolution Strategies: A Bioinspired Optimization Algorithm
  • 本地全文:下载
  • 作者:Thomas Bäck ; Lars Willmes ; Peter Krause
  • 期刊名称:Informatica
  • 印刷版ISSN:1514-8327
  • 电子版ISSN:1854-3871
  • 出版年度:2004
  • 卷号:28
  • 期号:4
  • 页码:337-344
  • 出版社:The Slovene Society Informatika, Ljubljana
  • 摘要:The basic variants of evolution strategies, a special instance of evolutionary algorithms, are discussed in this paper. Gleaned from the model of organic evolution, evolution strategies are characterized by the additional self-adaptive process that fine-tunes their strategy parameters during optimization. This property is a fundamental ingredient for the application to challenging engineering applications involving resource-intensive simulation runs. For one instance of such applications, the single-criterion and multi-criterion airfoil design problem, the results of an evolution strategy are presented and discussed in this paper.
  • 关键词:Evolutionary algorithm; multi-criterion optimization; airfoil design
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