Titlebook: Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Indu; Esther Andrés-Pérez,Leo M. González,

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The Unsteady Continuous Adjoint Method Assisted by the Proper Generalized Decomposition Methodthis paper it that, apart from the standard PGD method, an incremental variant, running simultaneously with the time integration of unsteady primal equation(s) is proposed and tested. For the purpose of demonstration, three optimization problems based on different physical problems (unsteady heat co

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Study of the Influence of the Initial a Priori Training Dataset Size in the Efficiency and Convergenique focused on optimization called the Intelligent Estimation Search with Sequential Learning (IES-SL). Several number of training points have been fixed to check the convergence, the accuracy and the objective function reached by the method.

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Surrogate-Based Shape Optimization of the ERCOFTAC Centrifugal Pump Impellerc efficiency, while keeping the total pressure rise prescribed to the design condition, in order to find the optimal impeller design. The whole optimization chain is designed for running in HPC environment with open-source software, i.e. OpenFOAM for CFD simulation, Dakota for the optimization and S

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CFD Based Design Optimization of a Cabinet Nitrogen Generator computational model to reduce the time and resources required. The combination of the ANN model with a multi start-gradient based algorithm optimized the position of compressors and cooling fans to minimize the average temperature on the critical parts. A set of new enclosure designs were found wit

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Delaunay-Based Global Optimization in Nonconvex Domains Defined by Hidden Constraintss modeled using an artificially-generated uncertainty function built on the framework of Delaunay triangulation. This work extends the Delaunay-based optimization algorithm with nonconvex constraints, dubbed .-DOGS(.), and extends this approach to estimate the feasible domain with binary oracle call

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Book 2019cation and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methodsin aerodynamic design..

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New Trends in Geometric Function Theory,orithm. At every optimization iteration a new profile is constructed using B-splines and the grid is rebuilt by elliptic grid generation. The gradients used for the optimization are obtained via a novel approach in which both the CAD kernel and grid generation are differentiated using Algorithmic Di

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The Genesis of Modeling in Kindergartenhe mesh deformation with an adjoint structural solver enables gradient computations of structural constraints with respect to CAD design parameters. To compare the robustness of the two mesh deformation methods, a CAD-based structural shape optimization using each method was performed.

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