An novel quantum genetic algorithm with Piecewise Logistic chaotic map

Aiming at the trouble of easy getting into local minimum and premature constringency existed in quantum genetic algorithm, this paper presents a new algorithm through analyzing the characteristic of Piecewise Logistic map. It improves the quantum genetic algorithm by using chaos optimization method based on Piecewise Logistic map and by optimizing the quantum update process through changing the rotation variation angle with the mode of fuzzy adaptive. The simulation results show that this kind of method is more effective to improve the global and local searching and to overcome the slow convergence and prematurity.