DocumentCode
2708381
Title
Multi-universe parallel quantum genetic algorithm its application to blind-source separation
Author
Yang, Jun-an ; Li, Bin ; Zhenquan Zhuang
Author_Institution
Hefei Electron. Eng. Inst., China
Volume
1
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
393
Abstract
This paper first proposes a novel multi-universe parallel quantum genetic algorithm (MPQGA). Then it puts forward a new blind source separation (BSS) method based on the combination of MPQGA 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) and the quantum genetic algorithm (QGA).
Keywords
blind source separation; genetic algorithms; independent component analysis; parallel algorithms; quantum computing; blind-source separation; conventional genetic algorithm; independent component analysis; multiuniverse parallel quantum genetic algorithm; Biological cells; Blind source separation; Concrete; Databases; Genetic algorithms; Independent component analysis; Q measurement; Quantum computing; Rotation measurement; Source separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location
Nanjing
Print_ISBN
0-7803-7702-8
Type
conf
DOI
10.1109/ICNNSP.2003.1279292
Filename
1279292
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