基于模拟退火-遗传算法的过程控制参数寻优研究

The Research of Based on Simulated Annealing and Genetic Algorithm's Optimal Selection of Controls Parameter

论述了如何将模拟退火算法与遗传算法相结合,并用于过程控制参数的优选,得到了适应度函数以误差最小为优化准则的最优参数.用该参数进行了二阶系统阶跃响应的仿真研究,取得了较好的控制效果,表明模拟退火 遗传算法用于过程控制参数的寻优具有较强的实用价值.

Authors discuss how to use simulated annealing and genetic algorithms for optimal selection of process controls parameter. Simulated annealing and genetic algorithms is applied to obtain the best control parameter whose fitness function is based on the least error, processes simulation research of the secondorder system's response with this controls parameter, acquire the better controls effect, which indicates that using simulated annealing and genetic algorithms for process controls parameter's optimal selection has very strong utility value.