论文部分内容阅读
文章在介绍基本量子遗传算法(QGA)的原理、方法和基本流程的基础上,主要归纳总结了最近几年QGA的改进,包括理论基础的编码扩展、算子的创新和量子门旋转角度、复杂高维函数优化、混合算法等,以及新的应用研究成果,以及在不同领域的一些应用,进而提出了QGA未来的发展方向。
Based on the introduction of the basic quantum genetic algorithm (QGA) principles, methods and basic processes, the paper mainly summarizes the QGA improvements in recent years, including the extension of the code based on theory, the innovation of operators and the angle of quantum gate rotation, High-dimensional function optimization, hybrid algorithms and so on, as well as new applied research results, as well as some applications in different fields, and then put forward the future development of QGA.