Solving path planning of UAV based on modified multi-population differential evolution algorithm

Abstract

In this paper we solve the path planning of Unmanned Aerial Vehicle (UAV) using differential evolution algorithm (DE). Based on traditional DE, we proposed a modified multi-population differential evolution algorithm (MMPDE) which adopts the multi-population framework and two new operators: chemical adsorption mutation operator and selection mutation operator. The simulation experiments show that the new algorithm has good performance.