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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 and optimization techniques featuring reasonable computational resources. It also discusses basic theory concepts and their application to aerodynamic design cases. It is aimed at researchers and engineers who deal with complex aerodynamic design problems on a daily basis and employ expensive simulations to solve them.
Aeronautics Engineering & Astronautics --- Mechanical Engineering --- Engineering & Applied Sciences --- Aerodynamics --- Nonconvex programming. --- Mathematical models. --- Computer simulation. --- Global optimization --- Non-convex programming --- Aerodynamics, Subsonic --- Airplanes --- Streamlining --- Subsonic aerodynamics --- Programming (Mathematics) --- Dynamics --- Fluid dynamics --- Gas dynamics --- Pneumatics --- Aeronautics --- Wind tunnels --- Astronautics. --- Hydraulic engineering. --- Engineering design. --- Aerospace Technology and Astronautics. --- Engineering Fluid Dynamics. --- Engineering Design. --- Simulation and Modeling. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- Engineering, Hydraulic --- Fluid mechanics --- Hydraulics --- Shore protection --- Space sciences --- Astrodynamics --- Space flight --- Space vehicles --- Design --- Aerospace engineering. --- Fluid mechanics. --- Hydromechanics --- Continuum mechanics --- Aeronautical engineering --- Astronautics
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This book contains thirty-five selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2017). This was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters reflect the state of the art in theoretical and numerical methods and tools for optimization, and engineering design and societal applications. The volume focuses particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification 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 methods in aerodynamic design.
Mathematical optimization --- Evolutionary computation --- Engineering design. --- Mathematical optimization. --- Engineering. --- Astronautics. --- Mathematics. --- Engineering Design. --- Optimization. --- Computational Intelligence. --- Control and Systems Theory. --- Aerospace Technology and Astronautics. --- Game Theory, Economics, Social and Behav. Sciences. --- Math --- Science --- Space sciences --- Aeronautics --- Astrodynamics --- Space flight --- Space vehicles --- Construction --- Industrial arts --- Technology --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- Design --- Computational intelligence. --- Control engineering. --- Aerospace engineering. --- Game theory. --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematics --- Aeronautical engineering --- Astronautics --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Intelligence, Computational --- Artificial intelligence --- Soft computing
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