提出一种改进的遗传算法用于求解机械手运动学逆问题. 该算法采用实数编码, 其交叉概率和变异

概率根据解的适应度函数值自适应调整. 计算机仿真结果显示, 该算法较简单遗传算法(SGA) 求解精度高,

收敛速度快且稳定性能好.-An improved genetic algorithm for solving the inverse problem of manipulator kinematics. The algorithm uses real number encoding, the crossover probability and mutation probability according to the fitness function value of solution adaptive. Computer simulation results show that the algorithm is relatively simple genetic algorithm for (SGA) for solving high precision, fast convergence and stable performance is good.