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 ) 摘要将量子进化算法( qea )和粒子群算法( pso )互相结合，提出了两种混合量子进化算法。
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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 通过对多用户检测问题的求解表明，新的算法不仅操作更简单，而且全局搜索能力有了显著的提高。
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