计算机工程与应用2017，Vol.53Issue(5)：12-16,5.DOI:10.3778/j.issn.1002-8331.1608-0215
TWFBD的浮点数编码遗传算法
TWFBD-based floating point representation genetic algorithm
摘要
Abstract
Lately, it makes some progress in research on denoising mutation about Floating Point Representation(FPR)ge-netic algorithm. A little positive result is gained by some researchers. The theory and method are focal points in research on FPR denoising mutation all the time. The field needs to emerge some newer theory and worthwhile achievement in ap-plication. So far, there is research on Tight Wavelet Frame on Bounded Domain(TWFBD)used in FPR denoising mutation. In this paper, it carries out that it emphasizes on analysis on the properties of TWFBD, makes denoising mutation operation in the algorithm with TWFBD, proposes the TWFBD-based Floating Point Representation Genetic Algorithm(TFPRGA), and makes many experiments. The results of the research and the experiments indicate that the proposed method has reliable theory base, more obvious than other methods in effect.关键词
有界域/紧小波框架/消噪变异/浮点数编码/遗传算法Key words
bounded domain/tight wavelet frame/denoising mutation/floating point representation/genetic algorithm分类
信息技术与安全科学引用本文复制引用
崔明义..TWFBD的浮点数编码遗传算法[J].计算机工程与应用,2017,53(5):12-16,5.基金项目
国家自然科学基金(No.61202285) （No.61202285）
河南省科技攻关资助项目(No.132102210138). （No.132102210138）
