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在多目标遗传算法中引入动态适应度函数,以解决字典顺序式优化问题,并以此设计多目标控制器.以Shell 标准控制问题为研究对象,验证算法的有效性,并研究在模型增益摄动及出现大扰动的情况下算法的性能.
The dynamic fitness function is introduced into the multi-objective genetic algorithm to solve the dictionary-order optimization problem, and the multi-objective controller is designed.With the Shell standard control problem as the research object, the validity of the algorithm is verified and the model gain Motion and the performance of the algorithm in case of large disturbance.