Evolutionary Programming Using Mutations Based on the t Probability Distribution

ZHOU Fang-jun; WANG Xiang-jun; ZHANG Min

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Evolutionary Programming Using Mutations Based on the t Probability Distribution

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- Evolutionary Programming Using Mutations Based on the t Probability Distribution
- Acta Electronica Sinica Vol. 36, Issue 4, Pages: 667-671(2008)
- 作者机构：
  
  海军工程大学电气与信息工程学院,湖北,武汉,430033
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published Online：25 April 2008，
  
  Published：2008
- 稿件说明：
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ZHOU Fang-jun, WANG Xiang-jun, ZHANG Min. Evolutionary Programming Using Mutations Based on the t Probability Distribution[J]. Acta Electronica Sinica, 2008, 36(4): 667-671.
DOI：

ZHOU Fang-jun, WANG Xiang-jun, ZHANG Min. Evolutionary Programming Using Mutations Based on the t Probability Distribution[J]. Acta Electronica Sinica, 2008, 36(4): 667-671. DOI：

摘要

参考已提出的各种变异算子

提出了基于t分布变异的进化规划.在该算法中

使用t分布将高斯分布和柯西分布衔接起来

改变自由度n可以调整其变异性能.通过仿真得到了t算子随n和σ变化的一般规律

初步总结了进化代数、变异尺度和求解精度三者之间的关系.在此基础上

给出了一个基于t算子的自适应性进化规划算法

该算法将高斯变异和柯西变异的优点结合起来

仿真表明算法具有良好的性能.

Abstract

Consulted some previous mutations

this paper proposed an evolutionary programming(EP)using mutations based on the

probability distribution(

EP).The

probability distribution can connect with Gaussian and Cauchy probability distribution.Its variance is changeable by adjusting degree of freedom

.Rules of

mutations according to the change of

and standard deviation are analyzed by simulations

and the relationship among number of generations

standard deviation and minimum fitness are briefly summarized.Then an EP using adaptive t mutations(A

EP)is put forward at the end.The AtEP uses several

mutations with different

at the same time

so it can integrate the advantages of Gaussian and Cauchy mutation.And simulation evidence shows the algorithm is better than classical EP algorithm.

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Related Institution

Dept.of Electrical Engineering,Naval Univ.of Engineering

Institute for Information and communication Engineering School ofElectronicsand Information Engineering，Xi’an Jiaotong University

710049

Department of Instrument Science,Southeast University

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