Seeker Optimization Algorithm based Path Planning of Warehouse Robot

Abstract

Path optimization is one of the most important techniques for improving the efficiency of intelligent warehouse system, and which is considered by using Seeker Optimization Algorithm (SOA) in this paper. Firstly, an intelligent warehouse environment is constructed based on grid map. Then, A dichotomous randomized intermediate point selection strategy combining with a multi-directional search mechanism for path search is adopted in SOA, which is proposed for avoiding the problems of poor adaptation of the algorithm to specific maps and path redundancy. Finally, simulation validates effectiveness of the SOA by comparing it with Ant Colony optimization (ACO) and genetic algorithms (GA).