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Fuzzy Multi-Objective Simulation-Optimization of Stepped Spillways Considering Flood Uncertainty

机译:考虑洪水不确定性的阶梯溢洪道的模糊多目标仿真优化

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The design of stepped spillways is a multi-objective optimization problem in which the uncertainty of parameters plays a key role in the stepped spillways' design. A Fuzzy Transformation Method (FTM), as a first attempt, was employed to address the uncertainty through a multi-objective optimization of the stepped spillway. The proposed methodology comprises two parts. A numerical model is developed by FLOW3D((R)) and the Multi-Layer Perceptron artificial neural network (MLP-ANN) meta-model was trained and validated to substitute the numerical model. Then, the meta-model is coupled with a multi-objective optimization model to find the optimal design scenarios in each -cut level. Finally, two multi-criteria decision-making (MCDM) models are applied to achieve the lower and upper bounds of optimum solutions. The application of proposed methodology in Jarreh dam, Iran, shows its capability in satisfying the objectives and also addressing the uncertainty in stepped spillways' design.
机译:阶梯溢洪道的设计是一个多目标优化问题,其中参数的不确定性在阶梯溢洪道的设计中起着关键作用。首次尝试使用模糊变换方法(FTM)通过阶梯式溢洪道的多目标优化来解决不确定性。拟议的方法包括两个部分。由FLOW3D(R)开发了一个数值模型,并训练并验证了多层感知器人工神经网络(MLP-ANN)元模型来替代该数值模型。然后,将元模型与多目标优化模型耦合,以在每个切割级别中找到最佳设计方案。最后,使用两个多标准决策模型(MCDM)来实现最佳解决方案的上限和下限。拟议的方法论在伊朗Jarreh大坝中的应用显示了其满足目标并解决阶梯式溢洪道设计不确定性的能力。

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