Magnetic Bacterial Optimization Algorithm for Mobile Robot Path Planning

Autonomous navigation of robots is a promising research field due to its extensive applications. In recent years, more and more heuristic methods are applied in robot path planning. This paper proposes a new heuristic algorithm for path planning-magnetic bacterial optimization algorithm (MBOA). In the path planning algorithm based on MBOA, magnetosomes are mapped to the nodes in the path of robot. Simulation results show that the proposed algorithm is suitable for the problem of path planning and has better performance than some classical heuristic methods.