Research of Quantum Genetic Algorith and its application in blind source separation

TN2; 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 Source Separation (BSS) method based on QGA and Independent Component Analysis (ICA). The simulation result shows that the efficienc...

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Bibliographic Details
Published in:Journal of electronics (China) 2003-01, Vol.20 (1), p.62-68
Main Authors: Yang, Junan, Li, Bin, Zhuang, Zhenquan
Format: Article
Language:English
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Summary:TN2; 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 Source Separation (BSS) method based on QGA and Independent Component Analysis (ICA). The simulation result shows that the efficiency of the new BSS method is obviously higher than that of the Conventional Genetic Algorithm (CGA).
ISSN:0217-9822
1993-0615
DOI:10.1007/s11767-003-0089-4