Feasibility Analysis for Optimization of Uncertain Systems with Interval Parameters

Abstract

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