计算机工程与应用2011，Vol.47Issue(8)：33-35,3.DOI:10.3778/j.issn.1002-8331.2011.08.011
经验分布函数概率模型的分布估计算法
Estimation of distribution algorithms using empirical distribution function as probability model
摘要
Abstract
Estimation of distribution algorithms in continuous domains is based on such assumption that the variables subject to Gauss distribution.But it does not apply to everywhere.Estimation of distribution algorithms based on empirical distribution function is presented.The distribution is estimated with empirical distribution function directly.New individuals are sampled from the decided distribution for next generation.When the ideas of empirical distribution function and inverse transformation sampling are given, this paper describes the sampling algorithm and the whole estimation of distribution algorithm in order.The experimental results indicate the validity of the algorithm.关键词
分布估计算法/经验分布函数/逆变换法Key words
estimation of distribution algorithms/empirical distribution function/inverse transformation sampling分类
信息技术与安全科学引用本文复制引用
张建华,曾建潮..经验分布函数概率模型的分布估计算法[J].计算机工程与应用,2011,47(8):33-35,3.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60674104). （the National Natural Science Foundation of China under Grant No.60674104）
