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文章基本信息

  • 标题:Fine Tuning of Agent-Based Evolutionary Computing
  • 本地全文:下载
  • 作者:Michal Mizera ; Pawel Nowotarski ; Aleksander Byrski
  • 期刊名称:Journal of Artificial Intelligence and Soft Computing Research
  • 电子版ISSN:2083-2567
  • 出版年度:2019
  • 卷号:9
  • 期号:2
  • 页码:81-97
  • DOI:10.2478/jaiscr-2018-0026
  • 出版社:Walter de Gruyter GmbH
  • 摘要:Evolutionary Multi-agent System introduced by late Krzysztof Cetnarowicz and developed further at the AGH University of Science and Technology became a reliable optimization system, both proven experimentally and theoretically. This paper follows a work of Byrski further testing and analyzing the efficacy of this metaheuristic based on popular, high-dimensional benchmark functions. The contents of this paper will be useful for anybody willing to apply this computing algorithm to continuous and not only optimization.
  • 关键词:multi-agent systems ; metaheuristics ; evolutionary computing
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