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Produktbild: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
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Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

Aus der Reihe Computational Methods in Applied Sciences

145,99 €

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.07.2018

Abbildungen

X, 272 illus., schwarz-weiss Illustrationen

Herausgeber

Edmondo Minisci + weitere

Verlag

Springer

Seitenzahl

566

Maße (L/B/H)

24,1/16/3,7 cm

Gewicht

1018 g

Auflage

1st ed. 2019

Sprache

Englisch

ISBN

978-3-319-89986-2

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.07.2018

Abbildungen

X, 272 illus., schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

566

Maße (L/B/H)

24,1/16/3,7 cm

Gewicht

1018 g

Auflage

1st ed. 2019

Sprache

Englisch

ISBN

978-3-319-89986-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
  • 1. Keynote: Risk, Optimization and Meanfield Type Control, by Olivier Pironneau and Mathieu Laurière.- 2. Surrogate-Based Optimization in Aerodynamic Design.-  A Review of Surrogate Modeling Techniques for Aerodynamic Analysis and Optimization: Current Limitations and Future Challenges in Industry, by Raul Yondo, Kamil Bobrowski, Esther Andrés and Eusebio Valero.- Constrained Single-Point Aerodynamic Shape Optimization of the DPW-W1 wing through Evolutionary Programming and Support Vector Machines, by E. Andrés-Pérez, D. González-Juárez, M. J. Martin-Burgos, L. Carro-Calvo.- Enabling of Large Scale Aerodynamic Shape Optimization through POD-based Reduced-Order Modeling and Free Form Deformation, by A. Scardigli, R. Arpa, A. Chiarini and H. Telib.- Application of Surrogate-based Optimization Techniques to Aerodynamic Design Cases, by Emiliano Iuliano and Domenico Quagliarella.- Efficient Global Optimization method for multipoint airfoil design, by Davide Cinquegrana and Emiliano Iuliano.- 3. Adjoint Methods for Steady and Unsteady Optimization.- Checkpointing with time gaps for unsteady adjoint CFD, by Jan Christian Hueckelheim and Jens-Dominik Mueller.- Shape Optimization ofWind Turbine Blades using the Continuous Adjoint Method and Volumetric NURBS on a GPU Cluster, by Konstantinos T. Tsiakas, Xenofon S. Trompoukis, Varvara G. Asouti and Kyriakos C. Giannakoglou.- Aerodynamic Shape Optimization Using the Adjoint-based Truncated Newton Method, by Evangelos M. Papoutsis-Kiachagias, Mehdi Ghavami Nejad, and Kyriakos C. Giannakoglou.- Application of the adjoint method for the reconstruction of the boundary condition in unsteady shallow water flow simulation, by Asier Lacasta, Daniel Caviedes-Voullième and Pilar García-Navarro.- Aerodynamic Optimization of Car Shapes using the Continuous Adjoint Method and an RBF Morpher, by E.M. Papoutsis-Kiachagias, S. Porziani, C. Groth, M.E. Biancolini, E. Costa and K.C. Giannakoglou.- 4. Holistic Optimization in Marine Design.-  Upfront CAD – Parametric modeling techniques for shape optimization, by S. Harries, C. Abt and M. Brenner.- Simulation-based Design Optimization by Sequential Multi-criterion Adaptive Sampling and Dynamic Radial Basis Functions, by Matteo Diez, Silvia Volpi, Andrea Serani, Frederick Stern and Emilio F. Campana.- Application of Holistic Ship Optimization in Bulkcarrier Design and Operation, by Lampros Nikolopoulos, Evangelos Boulougouris.- 5. Game Strategies Combined with Evolutionary Computation.- Designing Networks in Cooperation with ACO, by E. D’Amato, E. Daniele and L. Mallozzi.- Augmented Lagrangian approach for constrained potential Nash games, by Lina Mallozzi and Domenico Quagliarella.- A Diversity Dynamic Territory Nash Strategy in Evolutionary Algorithms: Enhancing Performances in Reconstruction Problems in Structural Engineering, by David Greiner, Jacques Périaux, J.M. Emperador, B. Galván, G. Winter.- Interactive Inverse Modeling Based Multiobjective Evolutionary Algorithm, by Karthik Sindhya and Jussi Hakanen.- Multi-Disciplinary Design Optimization of Air-breathing Hypersonic Vehicle Using Pareto Games and Evolutionary Algorithms, by Peng Wu, Zhili Tang, Jacques Periaux.- 6. Optimisation under Uncertainty.-  Innovative methodologies for Robust Design Optimization with large number of uncertainties using modeFRONTIER, by Alberto Clarich, Rosario Russo.- A Novel Method for Inverse Uncertainty Propagation, by Xin Chen, ArturoMolina-Crist ´obal,Marin D. Guenov, Varun C. Datta, Atif Riaz.- Uncertainty Sources in the Baseline Configuration for Robust Design of a Supersonic Natural Laminar Flow Wing-Body, by Domenico Quagliarella and Emiliano Iuliano.- Robust Airfoil Design in the Context of Multi-Objective Optimization, by Lisa Kusch and Nicolas R. Gauger.- An alternative formulation for design under uncertainty, by F. Fusi and P. M. Congedo and G. Geraci and G. Iaccarino.- Polynomial Representation of Model Uncertainty in Dynamical Systems, by Massimiliano Vasile.- 7. Algorithms and Industrial Applications.-  Improved archiving and search strategies for Multi Agent Collaborative Search, by Lorenzo A. Ricciardi, Massimiliano Vasile.- Comparison of Multi-objective Approaches to the Real-World Production Scheduling, by Gregor Papa and Peter Korošec.- Elucidation of Influence of Fuels on Hybrid Rocket Using Visualization of Design-Space Structure, by Kazuhisa Chiba, Shin'ya Watanabe, Masahiro Kanazaki, Koki Kitagawa, and Toru Shimada.- Creating Optimised Employee Travel Plans, by Neil Urquhart and Emma Hart.- A New Rich Vehicle Routing Problem Model and Benchmark Resource, by Kevin Sim, Emma Hart, Neil Urquhart, and Tim Pigden.- Genetic Algorithm Applied to Design Knowledge Discovery of Launch Vehicle Using Clustered Hybrid Rocket Engine, by Masahiro Kanazaki, Kazuhisa Chiba, Shoma Ito, Masashi Nakamiya, Koki Kitagawa and Toru Shimada.- Topology Optimization of Flow Channels with Heat Transfer Using a Genetic Algorithm Assisted by the Kriging Model, by Mitsuo Yoshimura, Takashi Misaka, Koji Shimoyama, Shigeru Obayashi.- Topology Optimization using GPGPU, by Stefan Gavranovic, Dirk Hartmann, Utz Wever.