计算机与数字工程2013，Vol.41Issue(4)：538-539,558,3.
基于云遗传算法的CGF路径规划研究
CGF Path Planning Based on Cloud Genetic Algorithm
摘要
Abstract
To improving the efficiency of computer generated forces(CGF) path planning, a novel approach based cloud genetic algorithm is presented. First, a simple efficient model of fictitious battlefield is established. Then, the cloud genetic arithmetic is introduced into the domain and analyzes the basic problem such as genetic code, initialization and fitness. Simulation results show that the approach was optimized to solve the problems of premature phenomena and slow convergence.关键词
遗传算法/云模型/计算机生成兵力/路径规划Key words
genetic algorithm/ cloud model/ CGF/ path planning分类
信息技术与安全科学引用本文复制引用
冯晓洁,李畅..基于云遗传算法的CGF路径规划研究[J].计算机与数字工程,2013,41(4):538-539,558,3.
