Car Path Planning with Improved Artificial Bee Colony Algorithm

Mobile robots have been paid more and more attention in the research and application of all walks of life, but the path planning of mobile robots is difficult to research. In this paper, whale hunting movement behavior and elite bee strategy are introduced into the basic artificial bee colony (ABC) algorithm, and finally, an improved artificial bee colony (WABC) algorithm is obtained, which has been verified by standard test function and simulation experiment. It is shown that the WABC has higher accuracy, better global convergence, and can effectively solve path planning in complex environments.