期刊文献+

变异算子确定的一种新方法研究

Research for a New Method to Define the Mutation Operator
在线阅读 下载PDF
导出
摘要 说明了遗传算子的重要性,分析了其作用.编制了一个遗传算法程序,并提出了用MatLab进行曲线拟合来确定变异算子的方法,最后通过算例验证了所提方法的合理性。 This paper first states the importance heredity operator of and analyzes this function. The heredity algorithm procedure is decoded and the method to determine mutation operator by the curve fitting is proposed in MatLab. Finally the example confirms the rationality of the method.
出处 《河南科学》 2007年第1期95-97,共3页 Henan Science
关键词 遗传算法 MATLAB 曲线拟合 genetic algorithms MatLab curve fitting
  • 相关文献

参考文献10

  • 1张建荣,周佩玲,傅忠谦,张德学.光网络流量工程优化计算的适应度函数研究[J].计算机应用,2004,24(2):41-43. 被引量:1
  • 2DE Jong.An analysis of the behavior of a class of genetic adaptive systems[D].USA:The University of Michigan,1975.
  • 3GREFENSTETTE J.Optimization of control parameters for genetic algorithms[J].IEEE Transactions on Systems,Man and Cybernetics,1986,16 (1):122-128.
  • 4GOLDBERG D E.Sizing populations for sserial and parallel genetic algorithms[C]//.Schaffer J.Proceedings of the Third International Conference on Genetic Algorithms.Los Angles,USA:Morgan Kaufmann Publishers,1989.
  • 5DAVIS L D.Adapting operator probabilities in genetic algorithms[C]//.Schaffer J.Proceedings of the Third International Conference on Genetic Algorithms.Los Angles,USA:Morgan Kaufmann Publishers,1989.
  • 6DAVIS L D.Handbook of genetic algorithms[M].New York:Van Nostrand Reinhold,1991.
  • 7REEVES C R.A genetic algorithm for flowshop sequencing[J].Computers and Ops Res.,1995,22(1):5-13.
  • 8SRINIVAS M P,ATNAIK L M.Adaptive probabilities of crossover and mutation in genetic algorithms[J].IEEE Transactions on Systems,Man and Cybernetics,1994,24 (4):656-667.
  • 9周明,孙树栋.遗传算法原理及其应用[M].北京:国防工业出版社,2004.
  • 10许向勇,殷红成,李春雷,韦笑.无定向拓扑连接的并行遗传算法及其变异算子改进[J].系统工程与电子技术,2005,27(5):900-905. 被引量:1

二级参考文献17

  • 1许向勇,杨启文,范新南.基于Internet的并行遗传算法及其关键实现技术[J].系统工程与电子技术,2004,26(8):1102-1106. 被引量:2
  • 2武献华,王奇.宏观投资效益的综合评价与主分量分析[J].财经问题研究,1994(7):54-59. 被引量:1
  • 3张翔.多目标优化设计的评价函数[J].福建农业大学学报,1994,23(4):465-470. 被引量:4
  • 4王雪华,秦学志.多目标规划的极大熵方法[J].计算数学,1996,18(3):305-308. 被引量:21
  • 5韦乐平.光同步数字网[M].北京:人民邮电出版社,1998..
  • 6Holland J H.Adaptation in natural and artificial systerns[M]. University of Michigan Press,1975.
  • 7Goldberg D E.Genetic algorithms in ,search,optimization and machine Ieaming[M].Addison Wesley,Reading,MA,1989.
  • 8Shinya Watanabe,Tomoyuki Hiroyasu,Mitsunori Miki. Parallel evolutionary multi-criterion optimization for mobile telecommunication networks optimization[J].Evolutionary Methods for Design,Optimizxztion and Control,2002,167-172.
  • 9Pereira Claudio M N A,LapaCelso MF.Coarse-grained paralld gmetic algorithm applied to a nuclear reactor core design optimization problem[J].Annual of Nuclear Energy,2003(30):555-565.
  • 10Kazunori Kojima,Hiroshi Matsuo,Masaaki Ishigame.Reduction of communication quantity for network based parallel GA [C].Proc.of the Congress on Evolutionary Computation,2002,1715 -1720.

共引文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部