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  • 标题:A New Strategy of Dynamically Adjusting Population Size for Coevolutionary Algorithms
  • 本地全文:下载
  • 作者:XianBin CAO ; YuanPing GUO ; Hong QIAO
  • 期刊名称:International Journal of Intelligent Control and Systems
  • 印刷版ISSN:0218-7965
  • 出版年度:2005
  • 卷号:10
  • 期号:3
  • 页码:251-257
  • 出版社:Westing Publishing Co., Fremont
  • 摘要:How to dynamically adjust population size is one of the most important research topics in coevolutionary computation. This paper proposes a new strategy to dynamically adjust population size during a coevolutionary process. Three factors are considered in the strategy to describe the influence on population size. They are the natural growth of sub-populations, the internal competition of individuals from same sub-population and the interaction between individuals from different sub-populations. It is proven that the proposed strategy is globally asymptotically stable and also the convergence of a coevolutionary algorithm with the strategy is investigated. Finally, the behavior of the proposed strategy in practical use is illustrated.
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