Design of Mobile Robot Path Planning Algorithm Based on Improved Whale Optimization Algorithm

Abstract

In this paper, an improved whale optimization algorithm (IWOA) is proposed to solve the problem of independent path planning for mobile robots, which makes mobile robots move along the optimal path. By combining inverse initial coding optimization with Levy flight, The classic whale optimization algorithm (WOA) was improved, the optimization ability of WOA and the solving ability of optimal path point are improved, then the local optimal solutions are maximally avoided. Finally, by comparing the IWOA with the path planning effect diagram of the classical WOA through simulation, the feasibility and efficiency of the IWOA in path planning are verified.