Path Planning of Multiple UAVs Based on a Improved Genetic Algorithm
He Huang · Aeronautical Computing Technique · 2009
Path planning of multiple UAVs in the dynamic environment is analyzed and modeled.4 states:ready-state,working-state,homing-state and incontrollable-state are defined.Working efficiency of UAVs and survival probability in the threats are taken into account.Based on that,the paper proposed a method of path planning of Multiple UAVs based on hybrid genetic algorithm.This method designs new coding methods and fitness functions with definite physical meaning so that the real-time operation speed and operation precision can be accelerated and improved respectively.Computer simulation experiments show that,the method has good path planning ability for multiple UAVs in the dynamic environment.