提出了一种基于知识的遗传算法,该算法采用特定的遗传算子、把领域知识并入初始种群及自适应调整控制参数,克服了传统遗传算法的早熟收敛问题,提高了遗传算法的效率.实验结果表明该算法在移动机器人路径规划中的可行性和有效性. A genetic algorithm based on knowledge is proposed. The algorithm uses a specific genetic operator to incorporate domain knowledge into the initial population and adaptively adjusts the control parameters to overcome the premature convergence problem of the traditional genetic algorithm and improve the efficiency of the genetic algorithm. Experimental results show that the proposed algorithm is feasible and effective in path planning of mobile robots.