期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2013
卷号：2
期号：6
页码：1059
出版社：International Journal of Computer and Information Technology
摘要：To enhance the optimization ability of quantum- behaved particle swarm optimization algorithm, some improvement measures are proposed. First, we propose a encoding approach based on qubits described on Bloch sphere. This approach makes each particle contain three groups of Bloch coordinates of qubits, and all three groups of coordinates are regarded as approximate solutions describing optimization result. Then we propose an updating approach of particles based on quantum computing. As the optimization process is performed in n-dimensional hypercube space [-1,1] n , which has nothing to do with the specific issues, hence, the proposed approach has good adaptability for a variety of optimization problems. The experimental results show that the proposed algorithm is superior to the original one in optimization ability.
