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Titlebook: Application of Surrogate-based Global Optimization to Aerodynamic Design; Emiliano Iuliano,Esther Andrés Pérez Book 2016 Springer Internat

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期刊全称Application of Surrogate-based Global Optimization to Aerodynamic Design
影响因子2023Emiliano Iuliano,Esther Andrés Pérez
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发行地址Innovative methods are presented opening new frontiers towards a more efficient aerodynamic design.The usage of surrogate models in the preliminary or detailed aerodynamic design phase is envisaged to
学科分类Springer Tracts in Mechanical Engineering
图书封面Titlebook: Application of Surrogate-based Global Optimization to Aerodynamic Design;  Emiliano Iuliano,Esther Andrés Pérez Book 2016 Springer Internat
影响因子.Aerodynamic design, like many other engineering applications, is increasingly relying on computational power. The growing need for multi-disciplinarity and high fidelity in design optimization for industrial applications requires a huge number of repeated simulations in order to find an optimal design candidate. The main drawback is that each simulation can be computationally expensive – this becomes an even bigger issue when used within parametric studies, automated search or optimization loops, which typically may require thousands of analysis evaluations..The core issue of a design-optimization problem is the search process involved. However, when facing complex problems, the high-dimensionality of the design space and the high-multi-modality of the target functions cannot be tackled with standard techniques..In recent years, global optimization using meta-models has been widely applied to design exploration in order to rapidly investigate the design space and find sub-optimal solutions. Indeed, surrogate and reduced-order models can provide a valuable alternative at a much lower computational cost...In this context, this volume offers advanced surrogate modeling applications a
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Application of Surrogate-based Global Optimization to Aerodynamic Design
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Computational Thinking in Teacher Educationon-dominated solutions is divided into sub-fronts and the PCA is applied “locally” to each sub-front. The proposed method is demonstrated in multi-objective, constrained, aerodynamic optimization problems.
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PCA-Enhanced Metamodel-Assisted Evolutionary Algorithms for Aerodynamic Optimization,on-dominated solutions is divided into sub-fronts and the PCA is applied “locally” to each sub-front. The proposed method is demonstrated in multi-objective, constrained, aerodynamic optimization problems.
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Adaptive Sampling Strategies for Surrogate-Based Aerodynamic Optimization,prediction error of the surrogate model globally). The proposed methodology is applied to the design optimization of a two-dimensional airfoil in multi-point transonic conditions. The results of different training strategies are critically discussed and compared.
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