Path Planning for UAV Based on Adaptive Genetic Algorithm
Qi Zhai · Journal of Henan University · 2007
Series of stochastic points and its threat radius in the considered region are generated to simulate the task environment of UAV, then the region is equally divided into N part vertically, based on which the dimension of the expression of the UAV path decreases from 2-D to 1-D. Adaptive crossover and mutation operator is designed, by which premature and lower convergence problem can be prevented. The simulation result shows that the control algorithm is efficient in the obstacle prevention and shortest path choice in complicated environment.