基于遗传算法(GA)的具有约束的飞行轨迹规划

Genetic Algorithms(GA) Based Flight Path Planning with Constraints

轨迹规划的一个最基本目标是规划飞机通过威胁空间并实现任务目标的飞行轨迹．这个轨迹需满足任务规划所确定的约束，这些约束包括：地形、威胁（静、动态）、燃油、时间、飞行性能等，构成了一个多维、多模态且具有组合爆炸的搜索空间，造成了轨迹规划的具有挑战性的难题．对基于ＧＡ的自适应搜索技术的轨迹规划方法和轨迹规划器进行了研究．

One of the basic objects of a flight path planner is to plan a route through threat space to accomplish mission objectives, at the same time the route should satisfy mission planning constraints. These constraints include terrain, threat, fuel, time, and vehicle performance constraints, etc, which compose a multi dimensional, multi modal, and combinatorially explosive search space and pose a difficult challenge for flight path planners. A study on a flight path planning technic and planner based on an adaptive search techniques called Genetic Algorithms is developed. The method which can be used to generate effective vehicle routes meet the constrains is presented.