Inspired by the idea of hybrid optimization algorithms , this paper proposes two hybrid quantum evolutionary algorithms ( qea ) based on combining qea with particle swarm optimization ( pso ) 摘要將量子進(jìn)化算法( qea )和粒子群算法( pso )互相結(jié)合,提出了兩種混合量子進(jìn)化算法。
The experiment results of multiuser detection problem show that both of the proposed methods not only have simpler algorithm structure , but also perform better than conventional qea and bpso in terms of ability of global optimum 通過(guò)對(duì)多用戶檢測(cè)問(wèn)題的求解表明,新的算法不僅操作更簡(jiǎn)單,而且全局搜索能力有了顯著的提高。