Research on UAV 3D route planning optimization using improved cuckoo search algorithm
Aiming at the shortcomings of the standard cuckoo search algorithm,such as slow convergence speed and easily falling into local optimality,an improved cuckoo search algorithm is proposed.Inspired by other swarm intelli-gence algorithms,in the process of acquiring new nests,we select a nest by roulette and search around the optimal solution;The operation of running to the optimal solution similar to Wolf pack algorithm with certain probability bal-ances the local and global search ability well.At last,the optimal solution is preserved in the process of abandoning the nest,which improves the search efficiency of the algorithm.The experimental results of 4 standard test functions and 3D route planning of UAV show that the improved cuckoo search algorithm is effective in solving accuracy and robustness,and the route planning time is less and better.
NETL
NSTL
万方数据
维普
