Path Planning Optimization Using the Differential Evolution Algorithm
نویسندگان
چکیده
In this paper the Differential Evolution algorithm is deployed to the robotic path planning optimization problem for autonomous mobile vehicles. At this stage, the simulations consider the robot world with level surfaces and static obstacles , in which the optimization is performed off-line. The global objective is to evaluate the differential evolutionary algorithm in solving path planning problems, by finding the shortest path between start and goal points. Results obtained for three case studies with static circular and polygonal obstacles are presented.
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