UAV Swarm Collaborative Path Planning Based on RB-ABC

Abstract

As a major combat force in future warfare, the path planning problem of UAV swarms has attracted much attention. Based on the application of the traditional artificial bee colony algorithm in single-machine path planning, a non-deterministic search mechanism and a two-way planning method are introduced to make improvements to the way of food generation in the Artificial Bee Colony algorithm. An improved RB-ABC algorithm is proposed. Simulation experiments are conducted using a cooperative flight mode in which multiple UAVs take off from different starting points and reach the specified end point simultaneously or in a specified order. It is verified that RD-ABC algorithm can realize the path planning of UAVs and get a better path in a short time.