Research on Unmanned Vehicle Path Planning based on Improved Bat Algorithm

Abstract

Vehicle driving technology has developed in the direction of informatization and intelligence, and the research hotspot is unmanned driving and path planning [1]. This paper proposes an improved bat algorithm (Improved Bat Algorithm, IBA). First, a weighted speed update mechanism is introduced in BA, so that with the increase of the number of iterations, the speed changes adaptively to avoid the algorithm falling into local extreme values prematurely. Then, in the subsequent iterations, the quadratic differential change mechanism is used to maintain the diversity of the bat population; and under the static road network, the optimal route is planned through the MAT LAB simulation experiment, which verifies that the IBA algorithm has better performance.