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Derivative free optimization methods for optimizing stirrer configurations

机译:用于优化搅拌器配置的无导数优化方法

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In this paper a numerical approach for the optimization of stirrer configurations is presented. The methodology is based on a flow solver, and a mathematical optimization tool, which are integrated into an automated procedure. The flow solver is based on the discretization of the incompressible Navier-Stokes equations by means of a fully conservative finite-volume method for block-structured, boundary-fitted grids, for allowing a flexible discretization of complex stirrer geometries. Two derivative free optimization algorithms, the DFO and CONDOR are considered, they are implementations of trust region based derivative-free methods using multivariate polynomial interpolation. Both are designed to minimize smooth functions whose evaluations are considered to be expensive and whose derivatives are not available or not desirable to approximate. An exemplary application for a standard stirrer configuration illustrates the functionality and the properties of the proposed methods. It also gives a comparison of the two optimization algorithms. (C) 2007 Elsevier B.V. All rights reserved.
机译:本文提出了一种优化搅拌器配置的数值方法。该方法基于流求解器和数学优化工具,它们被集成到自动化过程中。流量求解器基于不可压缩的Navier-Stokes方程的离散化,该方法通过完全保守的有限体积方法对块状结构,边界拟合网格进行离散化,以实现复杂搅拌器几何形状的灵活离散化。考虑了两种无导数优化算法DFO和CONDOR,它们是使用多元多项式插值的基于信任区域的无导数方法的实现。两者都被设计为最小化平滑函数,这些平滑函数的评估被认为是昂贵的并且其导数不可用或不希望近似。标准搅拌器配置的示例性应用说明了所提出方法的功能和特性。它还提供了两种优化算法的比较。 (C)2007 Elsevier B.V.保留所有权利。

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