区间参数不确定系统优化的可行性分析

Feasibility Analysis for Optimization of Uncertain Systems with Interval Parameters

针对过程工业系统的特点,以区间参数表示的不确定非线性系统的优化问题转化为一 个极大极小型优化命题,并结合遗传算法和常规非线性优化方法对其可行性进行了分析.最后, 通过计算示例表明了上述方法的有效性.

The optimization problem of uncertain systems with interval parameters is transformed into a minimax optimization problem. To analyze the feasibility of the minimax problem, a hierarchical algorithm composed of genetic algorithms and nonlinear programming is proposed. Finally, a simulation example shows the effectiveness of the hierarchical algorithm.