火力与指挥控制Issue(2)：70-73,4.
一种改进遗传算法在UCAV快速航迹规划中的应用
Application of an Improved Genetic Algorithm in Fast Path Planning for UCAV
摘要
Abstract
Due to the complex constraints,more uncertain factors and critical real-time demand of path planning for UCAV,an approach of fast path planning based on Voronoi diagram and improved genetic algorithm is proposed,which makes use of the principle of hierarchical path planning. First the Voronoi diagram is utilized to generate the initial paths and calculate the weight of the paths by considering the constraints. Then the optimal path is searched by using the improved genetic algorithm. Multiprocessors parallel computing techniques are used to improve the traditional genetic algorithm and the optimal time is greatly reduced. Simulation results verify that path planning based on Voronoi diagram and IGA is more favorable in the real-time operation. It can improve the adaptability of dynamic battlefield and unexpected threats for UCAV.关键词
无人作战飞机/改进遗传算法/Voronoi图/航迹规划/实时性Key words
unmanned combat aerial vehicle/improved genetic algorithm/Voronoi diagram/path planning/real-time分类
信息技术与安全科学引用本文复制引用
顾潮琪,周德云..一种改进遗传算法在UCAV快速航迹规划中的应用[J].火力与指挥控制,2015,(2):70-73,4.基金项目
航空科学基金（20115553021）；西北工业大学基础研究基金资助项目 （）
