The ameliorated genetic algorithm of optimal control for motion planning is presented with encoding the optimized variables with float-point number. 提出了对优化变量进行浮点数编码的改进遗传算法,使系统控制精度得到改善。
Firstly, optimization variables are expressed by chaotic variables through solution space transformation, and the chaotic variables are coded into an antibody. 首先利用解空间变换将优化变量表示为混沌变量,并将混沌变量编码为抗体。