Optimizing Mobile Robot Path Planning and Navigation by Use of Differential Evolution

Path planning and navigation is essential for an autonomous robot which can move avoiding the static obstacles in a real world and to reach the specific target. Optimizing path for the robot movement gives the optimal distance from the source to the target and save precious time as well. With the development of various evolutionary algorithms, the differential evolution is taking the pace in comparison to genetic algorithm. Differential evolution has been deployed quite successfully for solving global optimization problem. Differential evolution is a very simple yet powerful metaheuristics type problem solving method. In this paper we are proposing a Differential Evolution based path navigation algorithm for mobile path navigation and analyze its efficiency with other developed approaches. The proposed algorithm optimized the robot path and navigates the robot to the proper target efficiently.