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2-Adic MRA的浮点数编码遗传算法

崔明义

计算机工程与应用Issue(15):12-16,5.
计算机工程与应用Issue(15):12-16,5.DOI:10.3778/j.issn.1002-8331.1501-0274

2-Adic MRA的浮点数编码遗传算法

2-Adic MRA based floating point representation Genetic Algorithm

崔明义1

作者信息

  • 1. 河南财经政法大学 计算机与信息工程学院,郑州 450046; 郑州成功财经学院 信息工程系,郑州 451200
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摘要

Abstract

An orthonormal wavelet basis is constructed with 2-Adic multiresolution analysis. Validity of the constructed orthonormal wavelet is proven in denoising on Floating Point Representation Genetic Algorithm(FPRGA). Denoising muta-tion operation with the orthonormal wavelet is proposed in FPRGA. The aim is to remove noises from floating point repre-sentation in genetic environment. The genetic algorithm based on 2-Adic multiresolution analysis is structured. The experi-ment is done. The simulation experiment indicates that the algorithm can improve obviously convergence rate and preci-sion of FPRGA. It has greater reliability than base algorithm.

关键词

2-Adic多分辨率分析(MRA)/正交小波/浮点数编码/消噪变异/遗传算法

Key words

2-Adic Multiresolution Analysis(MRA)/orthonormal wavelet/floating point representation/denoising muta-tion/Genetic Algorithm(GA)

分类

信息技术与安全科学

引用本文复制引用

崔明义..2-Adic MRA的浮点数编码遗传算法[J].计算机工程与应用,2015,(15):12-16,5.

基金项目

国家自然科学基金(No.61202285);河南省科技攻关项目(No.132102210138)。 ()

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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