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基于免疫遗传算法的轮式装甲车辆CGF路径规划研究
引用本文:闫守柱,薛青,罗佳,邓青,吉雯龙.基于免疫遗传算法的轮式装甲车辆CGF路径规划研究[J].四川兵工学报,2014(10):25-28.
作者姓名:闫守柱  薛青  罗佳  邓青  吉雯龙
作者单位:装甲兵工程学院;中国人民解放军68307部队;装备学院;
摘    要:为了改进轮式装甲车辆CGF路径规划能力,提高CGF路径质量,在基本遗传算法的基础上,结合生物免疫学原理,加入了免疫算法的部分思想,研究一种改进的免疫遗传算法用于轮式装甲车辆CGF全局路径规划。经过仿真实验证明,免疫遗传算法的性能较遗传算法有一定提高,算法收敛更快和规划路径质量更优。

关 键 词:路径规划  免疫遗传算法  CGF

Research of Wheeled Armored Vehicle CGF Path Planning Based on Immune Genetic Algorithm
Affiliation:YAN Shou-zhu, XUE Qing, LUO Jia, DENG Qing, JI Wen-long( 1. Academy of Armored Force Engineering, Beijing 100072, China; 2. No. 68307 Unit of PLA, Zhangye 734000, China; 3. Academy of Equipment, Beijing 101416, China)
Abstract:In order to improve the ability of the wheeled armored vehicle CGF path planning, improve the quality of CGF path, based on the basic genetic algorithm, this paper combined with biological immunolo- gy principle, joined the part of the idea of immune algorithm, an improved immune genetic algorithm for global path planning of wheeled armored vehicle CGF. Through simulation experiments, the performance of the immune genetic algorithm is improved compared with the genetic algorithm, the algorithm converge fas- ter and better quality in path planning.
Keywords:path planning  immune genetic algorithm  CGF
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