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分布估计算法及其性能研究
引用本文:丁才昌,方勃,鲁小平.分布估计算法及其性能研究[J].武汉大学学报(理学版),2005(Z2).
作者姓名:丁才昌  方勃  鲁小平
作者单位:武汉大学计算机学院 湖北武汉430072
摘    要:在传统的遗传算法中,不合适的的参数设置会降低解的质量,于是在解决一些优化问题时传统的遗传算法被分布估计算法所取代.将分布估计算法按其复杂性归纳成几种模型,分别描述了它们的实现方法和求解问题的能力和效率.

关 键 词:分布估计算法  概率模型  组合优化问题

Research on Estimation of Distribution Algorithms Based on Probabilistic Models
DING Cai-chang,FANG Bo,LU Xiao-ping.Research on Estimation of Distribution Algorithms Based on Probabilistic Models[J].JOurnal of Wuhan University:Natural Science Edition,2005(Z2).
Authors:DING Cai-chang  FANG Bo  LU Xiao-ping
Abstract:In conventional Genetic Algorithms,inappropriate parameters setting may decrease the quality of the solutions.Conventional algorithms are thus replaced by Estimation of Distribution Algorithms(EDAs) in solving optimization problems.They are classified according to the complexity of the models used.Each class of the new algorithms are briefly described and the computing methods and their performance are dicussed.
Keywords:EDAs  probabilistic model  combinatorial optimization
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