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  • 标题:Adap­tive ge­netic al­go­rithm for data cen­ter re­source dis­tri­b­u­tion
  • 本地全文:下载
  • 作者:Te­lenik S.F. ; Rolik A.I. ; Savchenko P.S.
  • 期刊名称:Visnyk NTUU KPI : Informatics, Operation and Computer Science
  • 印刷版ISSN:0135-1729
  • 出版年度:2011
  • 卷号:54
  • 出版社:National Technical University of Ukraine
  • 摘要:Аn adap­tive ver­sion of the ge­netic al­go­rithm is pro­posed. Al­go­rithm is based on the si­mul­ta­ne­ous use of two ge­netic al­go­rithms that solve the prob­lem of para­met­ric and al­go­rith­mic adap­ta­tion. This al­lows you quickly se­lect and ad­just the strat­egy se­lec­tion pa­ra­me­ters for ge­netic al­go­rithms and the like­li­hood of their use. Se­quen­tial steps of the al­go­rithm are given, in­tro­duced the mod­i­fied pa­ra­me­ters of mu­ta­tion and crossover, in­tro­duced the con­cepts of re­wards and per­for­mance pa­ra­me­ters that are al­lowed to reg­u­late the se­quence of ge­netic op­er­a­tors, and to ad­just the prob­a­bil­ity of their use.
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