TY - JOUR
TI - The Improvement of Quantum Genetic Algorithm and Its Application on Function Optimization
VL - 2013
PY - 2013
DA - 2013/05/08
DO - 10.1155/2013/730749
UR - https://doi.org/10.1155/2013/730749
AB - To accelerate the evolutionary process and increase the probability to find the optimal solution, the following methods are proposed to improve the conventional quantum genetic algorithm: an improved method to determine the rotating angle, the self-adaptive rotating angle strategy, adding the quantum mutation operation and quantum disaster operation. The efficiency and accuracy to search the optimal solution of the algorithm are greatly improved. Simulation test shows that the improved quantum genetic algorithm is more effective than the conventional quantum genetic algorithm to solve some optimization problems.
JF - Mathematical Problems in Engineering
SN - 1024-123X
PB - Hindawi Publishing Corporation
SP - 730749
KW -
A2 - Wu, Zheng-Guang
AU - Wang, Huaixiao
AU - Liu, Jianyong
AU - Zhi, Jun
AU - Fu, Chengqun
ER -