Robot Path Planning Based on Genetic and Chaotic Optimization Algorithm
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Gan Xusheng, Gao Wenming, HanJun
For robotpath planning for avoiding the obstacle, a path planning method based on modifiedGeneticAlgorithm (GA)is proposed. In the algorithm, GA is first used to roughly search the path for robot as a whole, and then chaoticoptimization algorithm is adopted to perform the refined search on the basis of the result obtained by GA, which can make remarkable progress in accuracy and speed. The simulation result shows that the proposed algorithm is more reasonable and effective for robot path planning.
Robot, Path Planning, Genetic Algorithm, Chaotic Optimization Algorithm.