空军工程大学学报（自然科学版）2016，Vol.17Issue(6)：28-34,7.DOI:10.3969/j.issn.1009-3516.2016.06.006
竞争量子进化算法的巡航导弹航路规划与重规划方法
A Quantum Evolutionary Algorithm on Cruise Missile Path Planning and Replanning
摘要
Abstract
Aimed at the problem of cruise missile path planning,a Competition Quantum Evolutionary Algo-rithm (CQEA)is proposed in this paper.The algorithm is a kind of optimum solution through two direc-tion evolution and self�adapting variation to avoid to land itself into the local.Meanwhile,for the real�time request of path re�planning,surface of minimum risk and search vertical bar are reduced to decline the di-mension of the primary 3�dimensional space.The initial population is obtained through an idea of opera-tional area cluster to guarantee its non�inferiority.The simulation results show that compared to PAQEA, CQEA is good in searching efficiency.And compared to 3�dimensional space,CQEA is good in perform-ance in the new searching space.关键词
巡航导弹/航路重规划/竞争量子进化算法/搜索竖线/最小威胁曲面/功能区域簇Key words
cruise missile/path re�planning/competition quantum evolutionary algorithm/search vertical bar/surface of minimum risk/operational area cluster引用本文复制引用
乔冬冬,方洋旺,张磊,彭维仕..竞争量子进化算法的巡航导弹航路规划与重规划方法[J].空军工程大学学报（自然科学版）,2016,17(6):28-34,7.基金项目
国家自然科学基金(2014JQ8339) （2014JQ8339）
