关键词: 云模型, 量子计算, 免疫优化算法, 量子免疫算法

Abstract: A novel quantum immune optimization algorithm based on cloud model is proposed.Using quantum cloud-to-species evolution of gene populations and qualitative operation of the control and quantum based on cloud model adaptive strategy revolving door update operation，the scope of the search space can be adaptively controlled by this algorithm under the guidance of qualitative knowledge.It can avoid the local optimal solution under the conditions of the larger search space.A typical function of comparative experiment results shows that this algorithm can avoid trapping in local optimal solution，and can enhance the ability of global optimization.It can converge to the global optimal solution quickly，and has good application value.

Key words: cloud model, quantum computing, immune optimization algorithm, quantum immune optimization algorithm