Design and Implementation of Air Route Plan Simulation System for Unmanned Mine-laying Aerial Vehicle
LI Feib · Jisuanji gongcheng · 2012
In order to solve the air route plan problem of unmanned mine-laying aerial vehicle,the Memetic algorithm is adopted and simulated.The Particle Swarm Optimization(PSO) is selected as the main planning method while the simulated annealing algorithm is applied in the local search to complete the whole process of route planning.Taking the practical necessary of mining,the route plan simulation system of UMAV is designed.By OpenGL programmer in MFC of the Visual C++,the process of flying is simulated,and a 3-D route planning simulation platform is established by GUI in Matlab.