Feasibility Analysis for Optimization of Uncertain Systems with Interval Parameters
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摘要: 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．Abstract: 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.
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