Particle Swarm Optimization Route Planner Algorithm for Air Vehicle
Route planning and re-planning is an important part of modern aircraft mission planning. The existing route planning algorithm for this problem is complicated. We present a new and simple Particle Swarm Optimization Route Planner-PSORP algorithm for route planning and re-planning of air vehicles. In this algorithm, specific particle swarm coding representation and suitable fitness function was used. It can process each kind of the mission constraints and finally obtain an approximate optimal flight path. The simulation results demonstrated the feasibility of the algorithm.
air vehicle route planning particle swarm optimization
Yu Hui Yu Xin Su min
School of Computer Science, Northwestern Polytechnic University Shanxi Xian .China Shandong Air Line Shandong Qingdao.China
国际会议
2010 International Conference on Computer and Information Application(2010年计算机与信息应用国际会议 ICCIA 2010)
天津
英文
319-322
2010-12-03（万方平台首次上网日期，不代表论文的发表时间）