【摘要】 针对传统遗传算法在基于神经网络模型的移动机器人静态路径规划中求解最优路径时存在的收敛较慢、易陷入局部极值点的问题,提出了一种基于遗传模拟退火算法的静态路径规划方法.通过对算法进行实验仿真,结果表明提出的静态路径规划方法是正确有效的.更多还原

【Abstract】 In finding the best path in a static environment based on neural network by means of genetic algorithm,there are such problems as slow convergent speed and premature.The paper proposes a method of path planning based on genetically simulated annealing algorithm.The simulation results from experimental simulation of this algorithm show that the proposed method is correct and effective.更多还原