基于贝叶斯网络下的遗传算法

广东工业大学学报 ›› 2007, Vol. 24 ›› Issue (1): 19-21.

基于贝叶斯网络下的遗传算法

肇庆学院数学系广东肇庆526061；

出版日期:2007-02-01 发布日期:2007-02-01
基金资助:
广东省自然科学基金(04300167)

The Genetic Algorithm Based on Bayesian Net

(Department of Mathematics,Zhaoqing University,Zhaoqing 526061,China)

Online:2007-02-01 Published:2007-02-01

摘要/Abstract

摘要： 概率推理的基础是贝叶斯理论,它允许对任意的概率陈述作反向推导.利用概率论中的定理,将贝叶斯理论移植到遗传算法上,拓展了遗传算法的应用范围.

关键词: 概率；贝叶斯理论；遗传算法；

Abstract: Theory of Bayesian is the base of probability inference.It is permitted to infer reversely any probability statements.With the help of the theorems of probability theory,this article transfers the theory of Bayesian to the genetic algorithm,and then expands the applicable scope of the latter.

Key words: probability； theory of Bayesian； genetic algorithm；

陈锡枢； . 基于贝叶斯网络下的遗传算法[J]. 广东工业大学学报, 2007, 24(1): 19-21.

CHEN Xi-shu . The Genetic Algorithm Based on Bayesian Net[J]. Journal of Guangdong University of Technology, 2007, 24(1): 19-21.

参考文献

[1] 陈魁编著.应用概率统计[M]. 清华大学出版社, 2000

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