Research on Fast Evolutionary Algorithms Based on Probabilistic Models

LIN Ya-ping; YANG Xiao-lin

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Research on Fast Evolutionary Algorithms Based on Probabilistic Models

更新时间：2025-07-16

- Research on Fast Evolutionary Algorithms Based on Probabilistic Models
- Acta Electronica Sinica Vol. 29, Issue 2, Pages: 178-181(2001)
- 作者机构：
  
  湖南大学计算机科学系,长沙,410082
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：2001
- 稿件说明：
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LIN Ya-ping, YANG Xiao-lin. Research on Fast Evolutionary Algorithms Based on Probabilistic Models[J]. Acta Electronica Sinica, 2001, 29(2): 178-181.
DOI：

LIN Ya-ping, YANG Xiao-lin. Research on Fast Evolutionary Algorithms Based on Probabilistic Models[J]. Acta Electronica Sinica, 2001, 29(2): 178-181. DOI：

摘要

概率分析进化算法是最近几年发展起来的一类新的构造性进化算法.本文介绍了其产生背景和基本原理

分析了复杂概率模型导致的计算复杂性

在此基础上提出快速概率分析进化算法的概念和算法模型.文中给出了Bayes网络作为概率模型

爬山算法作为快速搜索技术的算法实例

实验结果验证了快速概率进化算法具有很好的性能.

Abstract

This paper disscusses the probabilistic model evolutionary algorithms which are a class of new algorithms proposed recently.After introducing the original and the principles of these classes of algorithms

the paper analyzes the complex computation caused by the complex models.Based on this

a new fast evolutionary algorithm based on probabilistic models is proposed.Also

a fast algorithm which uses the Bayes network model combined with the climbing-hill searching is realized.The experimental results show that the new algorithm has quick

reliable and accurate performance.

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