在介绍量子进化算法(QEA)的原理、特点和基本流程的基础上,重点综述QEA的改进,包括改进基本算子、引入新算子、改变种群规模、扩展为并行算法和构造新型算法框架等.介绍了QEA的应用研究,进而提出了QEA在理论、算法、组合优化、多目标优化与约束优化、不确定优化及应用方面的若干进一步的研究内容. On the basis of introducing the principle, characteristics and basic flow of Quantum Evolutionary Algorithm (QEA), this paper mainly reviews the improvement of QEA, including the improvement of basic operators, the introduction of new operators, the change of population size, the expansion of parallel algorithms and the construction of a new algorithm framework This paper introduces the application and research of QEA, and then puts forward some further research contents of QEA in theory, algorithm, combinatorial optimization, multi - objective optimization and constraint optimization, uncertain optimization and application.