RESEARCH OF QUANTUM GENETIC ALGORITH AND ITS APPLICATION IN BLIND SOURCE SEPARATION

被引：58

作者：

Yang Junan Li Bin Zhuang Zhenquan (Department of Electronic Science & Technology

机构：

来源：

Journal of Electronics(China) | 2003年 / 01期

基金：

中国国家自然科学基金;

关键词：

Quantum computation; Genetic algorithm; Quantum genetic algorithm; Independent component analysis; Blind source separation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This letter proposes two algorithms: a novel Quantum Genetic Algorithm (QGA)based on the improvement of Han’s Genetic Quantum Algorithm (GQA) and a new Blind SourceSeparation (BSS) method based on QGA and Independent Component Analysis (ICA). Thesimulation result shows that the efficiency of the new BSS method is obviously higher than thatof the Conventional Genetic Algorithm (CGA).

引用

页码：62 / 68

页数：7