基于萤火虫算法的多中继选择策略
Multiple Relay Selection Scheme Based on Glowworm Swarm Optimization Algorithm

〖JP2〗中继选择(RS)和功率控制是无线中继网络的2个重要组成部分.当中继节点以全功率协作和不协作时,中继选择等同于功率控制.因此,最佳信噪比（SNR）被描述称为0-1非线性整数规划问题（0-1 nonlinear programming integer problem,NLIP）.文中提出了基于萤火虫算法（Glowworm Swarm Optimization, GSO）的多中继选择策略,仿真结果表明,基于GSO算法的多中继选择能够获得最佳信噪比值,且性能优于穷举搜索、单一RS方案及其他次优化方案.〖JP〗
： Relay selection (RS) and power control are two essential parts in wireless relay network. RS is equal to power control in the condition that a relay cooperates with its full power or without any cooperation. Thus, the optimal signal-to-noise ratio (SNR) is interpreted as a 0-1 nonlinear programming integer problem (NLIP). A Glowworm Swarm Optimization (GSO) based multiple relay selection (MRS) scheme is proposed, which can fully obtain the optimal SNR value. Simulations results show that the proposed GSO-aided MRS scheme is superior to the conventional schemes, including the exhaustive search methods, single RS scheme and other suboptimal MRS schemes