Robot Path Planning Based on Genetic and Chaotic Optimization Algorithm
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DOI: 10.25236/cape.2017.023
Author(s)
Gan Xusheng, Gao Wenming, HanJun
Corresponding Author
Gan Xusheng
Abstract
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.
Keywords
Robot, Path Planning, Genetic Algorithm, Chaotic Optimization Algorithm.