【摘要】 基于最近优先(best-first)算法和遗传算法,提出了一种路径规划的混合智能算法。首先,基于最近优先(best-first)算法进行路径点搜索,当遇到局部极小点时,采用遗传算法进行局部极小点的逃离。该混合智能算法成功地应用于三自由度机器人的路径规划中,仿真实例表明该方案的可行性与有效性。更多还原

【Abstract】 This paper proposed a novel hybrid intelligent algorithm of robot path planning based onbest-first algorithm and genetic algorithm. Firstly, path searching is conducted based on best-firstalgorithm. Secondly, a new algorithm is presented which used genetic algorithm to escape the localminima. Finally, simulation experiment of 3-DOF robot path planning is conducted, the simulatedresults show the feasibility and effectiveness of the proposed approach.更多还原