Multi-universe parallel quantum genetic algorithm its application to blind-source separation

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 meth...

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Bibliographic Details
Main Authors: Jun-an Yang, Bin Li, Zhenquan Zhuang
Format: Conference Proceeding
Language:English
Subjects:
Biological cells
Blind source separation
Concrete
Genetic algorithms
Independent component analysis
Q measurement
Quantum computing
Rotation measurement
Source separation
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Summary: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).
DOI:10.1109/ICNNSP.2003.1279292