Multi-universe parallel quantum genetic algorithm its application to blind-source separation
Junan Yang, Bin Li, Zhenquan Zhuang · 2003
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).