计算机应用研究2017，Vol.34Issue(7)：2045-2048,4.DOI:10.3969/j.issn.1001-3695.2017.07.027
自适应量子遗传算法在指挥控制结构设计中的应用
Self-adaption quantum genetic algorithm used in design of command and control structure
摘要
Abstract
The paper mainly solved the problem of the design of command and control structure.First,it defined the key elements in command and control structure and introduced the concept of work load of decision makers to describe the problem mathematically.Next,it developed a mathematic model aimed at minimizing the root mean square of decision makers' work load.Finally,this paper combined the quantum genetic algorithm with self-adaption strategy and get the self-adaption quantum genetic algorithm.Major characteristic of this algorithm was adjusting the quantum rotation gate,generating the crossover probability and the mutation probability in a self-adaption way.Experimental results show that the self-adaption quantum genetic algorithm has a feature of evolving fast and searching precise,and it can cluster the platforms well to accomplish the design of command and control structure.关键词
工作负载/均方根/量子遗传算法/自适应Key words
work load/root mean square/quantum genetic algorithm/self-adaption分类
信息技术与安全科学引用本文复制引用
吴瑞杰,孙鹏,孙昱,邓长来..自适应量子遗传算法在指挥控制结构设计中的应用[J].计算机应用研究,2017,34(7):2045-2048,4.基金项目
国家自然科学基金资助项目(61573017) （61573017）
