A Path Planning for UAV Based on Genetic-pattern Searching Algorithm
Guangwen Li · Journal of Projectiles.Rockets.Missiles and Guidance · 2009
A path planning for unmanned aerial vehicle(UAV) based on genetic-pattern searching algorithm was proposed in order to improve the inherent disadvantage of the genetic algorithm.The path was denoted by one-dimension coding.The objective function and the fitness function of the path planning problem were constructed.The pattern searching algorithm was utilized for searching the improved path,which was based on the global approximate optimal path obtained by genetic algorithm.The simulation result shows that the inherent disadvantage of the genetic algorithm is improved and the precision of the path is increased by the algorithm.