多目标遗传算法和伺服设计中的寻优问题

Multi Objective Genetic Algorithms and the Problems of Optimization in Servo Design

运用基于排序计算适应度的多目标遗传算法（ＭＯＧＡｓ）对伺服系统的干扰抑制联合μ综合进行了设计寻优。寻优结果从多目标优化的角度，表明该ＭＯＧＡ成功地搜索出伺服系统干扰抑制设计的性能极限，明确了伺服系统鲁棒性能设计中的性能权函数的选取。

This paper applies a rank-based fitness assignment method for Multi-objective Genetic Algorithms(MOGAs)to the optimization of disturbance attenuation design of servo systems incorporating μ-synthesisThe results,from the point of multi-objective optimiztion,illustrate that the MOGA is successful in finding the performance limit of the disturbance attenuation design of the servo system,which clarifies the performance weighting function selection in the robust performance design of the servosystem