Study on Path Planning Based on Cluster Genetic Algorithm for Multiple Unmanned Air Vehicles
Jian Zhang · Fire Control and Command Control · 2011
Put forwarded a method of path planning by genetic algorithm for multiple UAVs under the threat of radar and complex topographical environment.United K-cluster by mean method and multi-group co-evolutioning algorithm,using the method of parallel evolution in master-slave plan,then it improved the speed of convergence and is convenient for distributed processing.In each species,adopted self- adapting evolution method,so,it can make sure the convergence of algorithm as well as diversity.In the basis of establishing the safe-flying curved surface,carried out the design of avoiding collide in UAVs. Simulation results show that the method can quickly get the low altitude penetration 3-d path for each UAV.