A Method of Hybrid Intelligence for UAV Route Planning Based on Membrane System

Abstract

For current intelligent path optimization method, when the intelligent optimization algorithm searches for the optimal solution, it cannot simultaneously take into account the defects of global and local search capabilities. This paper takes advantage of the parallelism of membranes structure and the advantages of information interaction within the membrane, nested cell membrane structure, firefly algorithm and bee colony algorithm are used as intra-membrane optimization rules, present a hybrid intelligent optimization method based on cell membrane structure, and apply it to route planning optimization. The results show that the proposed algorithm can accurately find the optimal path planning scenarios, and the algorithm can balances local and global search capabilities.