Relay Selection Scheme Based on Quantum Differential Evolution Algorithm in Relay Networks

Hongyuan Gao*,Shibo Zhang,Ming Diao, and Yanan Du College of Information and Communication Engineering Harbin Engineering University Harbin, P. R. China gaohongyuan@hrbeu.edu.cn, liangziyanhua@126.com, diaoming@ hrbeu.edu.cn,wenhuamo@126.com Abstract—It is a classical integer optimization difficulty to design optimal selection scheme in cooperative relay networks considering co-channel interference. In order to attain optimal system performance of cooperative relay network, a novel quantum differential evolutionary algorithm (QDEA) is proposed to resolve the optimization difficulty of optimal relay selection, and the proposed optimal relay selection scheme is called as quantum differential evolutionary algorithm (QDEA) based optimal relay selection. The proposed QDEA combines the advantages of quantum computing theory and differential evolutionary algorithm (DEA) to improve exploring and exploiting potency of DEA. So QDEA has the capability to find the optimal relay selection scheme in cooperative relay networks. Simulation results indicate that the proposed relay selection scheme based on QDEA is superior to other intelligent relay selection schemes based on differential evolutionary algorithm, artificial bee colony optimization and quantum bee colony optimization in terms of convergence speed and accuracy.