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Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences / / edited by Edmondo Minisci, Massimiliano Vasile, Jacques Periaux, Nicolas R. Gauger, Kyriakos C. Giannakoglou, Domenico Quagliarella
| Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences / / edited by Edmondo Minisci, Massimiliano Vasile, Jacques Periaux, Nicolas R. Gauger, Kyriakos C. Giannakoglou, Domenico Quagliarella |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (555 pages) |
| Disciplina | 519.3 |
| Collana | Computational Methods in Applied Sciences |
| Soggetto topico |
Engineering design
Computational intelligence Computer mathematics Engineering Design Computational Intelligence Computational Mathematics and Numerical Analysis |
| ISBN | 3-319-89988-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. . |
| Record Nr. | UNINA-9910337651603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational methods in engineering design and optimization / / guest editors, professor Massimiliano Vasile, Dr. Edmondo Minisci and Dr. Domenico Quagliarella
| Computational methods in engineering design and optimization / / guest editors, professor Massimiliano Vasile, Dr. Edmondo Minisci and Dr. Domenico Quagliarella |
| Pubbl/distr/stampa | Bradford, [England] : , : Emerald Insight, , 2014 |
| Descrizione fisica | 1 online resource (97 p.) |
| Disciplina | 620.00151 |
| Collana | Engineering Computations |
| Soggetto topico |
Engineering - Data processing
Engineering - Mathematical models Mathematical optimization Numerical analysis - Data processing |
| ISBN | 1-78441-354-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Editorial advisory board; Cogeneration design problem; Robust design of Mars entry micro-probe with evidence theory and multi-fidelity strategies; Gains tuning of a PI-Fuzzy controller by genetic algorithms; An efficient PMA-based reliability analysis technique using radial basis function; Three level hierarchical decision making model with GA |
| Record Nr. | UNINA-9910787277303321 |
| Bradford, [England] : , : Emerald Insight, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational methods in engineering design and optimization / / guest editors, professor Massimiliano Vasile, Dr. Edmondo Minisci and Dr. Domenico Quagliarella
| Computational methods in engineering design and optimization / / guest editors, professor Massimiliano Vasile, Dr. Edmondo Minisci and Dr. Domenico Quagliarella |
| Pubbl/distr/stampa | Bradford, [England] : , : Emerald Insight, , 2014 |
| Descrizione fisica | 1 online resource (97 p.) |
| Disciplina | 620.00151 |
| Collana | Engineering Computations |
| Soggetto topico |
Engineering - Data processing
Engineering - Mathematical models Mathematical optimization Numerical analysis - Data processing |
| ISBN | 1-78441-354-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Editorial advisory board; Cogeneration design problem; Robust design of Mars entry micro-probe with evidence theory and multi-fidelity strategies; Gains tuning of a PI-Fuzzy controller by genetic algorithms; An efficient PMA-based reliability analysis technique using radial basis function; Three level hierarchical decision making model with GA |
| Record Nr. | UNINA-9910807141903321 |
| Bradford, [England] : , : Emerald Insight, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems / / edited by Esther Andrés-Pérez, Leo M. González, Jacques Periaux, Nicolas Gauger, Domenico Quagliarella, Kyriakos Giannakoglou
| Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems / / edited by Esther Andrés-Pérez, Leo M. González, Jacques Periaux, Nicolas Gauger, Domenico Quagliarella, Kyriakos Giannakoglou |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (538 pages) |
| Disciplina | 519.3 |
| Collana | Computational Methods in Applied Sciences |
| Soggetto topico |
Engineering design
Mathematical optimization Computational intelligence Control engineering Aerospace engineering Astronautics Game theory Engineering Design Optimization Computational Intelligence Control and Systems Theory Aerospace Technology and Astronautics Game Theory, Economics, Social and Behav. Sciences |
| ISBN | 3-319-89890-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- PART I: Adjoint Methods for Optimisation, Mesh Adaptation and Uncertainty Quantification -- Gradient projection, constraints and surface regularization methods in adjoint shape optimization, by Pavlos P. Alexias and Eugene De Villiers -- Adjoint Shape Optimisation using model Boundary Representation, by E. Andres-Perez et al. -- CAD and Adjoint based Multipoint Optimization of an Axial Turbine Profile, by Ismael Sanchez Torreguitart, Tom Verstraete, and Lasse Mueller -- A Comparative Study of Two Different CAD-Based Mesh Deformation Methods for Structural Shape Optimization, by Marc Schwalbach, Tom Verstraete, Jens-Dominik Miller, and Nicolas R. Gauger -- Node-based Adjoint Surface Optimization of U-bend duct for pressure loss reduction, by Giacomo Alessi, Lilla Koloszar, Tom Verstraete, and J. van Beeck -- On the Properties of Solutions of the 2D Adjoint Euler Equations, by Carlos Lozano -- Finite Transformation Rigid Motion Mesh Morpher, by Athanasios G. Liatsikouras, Guillaume Pierrot, Gabriel Fougeron, and George S. Eleftheriou -- The Unsteady Continuous Adjoint Method Assisted by the Proper Generalized Decomposition Method, by V. S. Papageorgiou, K. D. Samouchos and K. C. Giannakoglou -- A Two–Step Mesh Adaptation Tool Based on RBF with application to turbomachinery Optimization Loops, by Flavio Gagliardi, Konstantinos T. Tsiakas and Kyriakos C. Giannakoglou -- Adjoint-based Aerodynamic Optimisation of Wing Shape Using Non-Uniform Rational B-splines, by Xingchen Zhang, Rejish Jesudasan and Jens-Dominik Müller -- PART II: Surrogate-assisted Optimization of Real World problems -- A comparative evaluation of surrogate models for transonic wing shape optimization, by Emiliano Iuliano -- Study of the influence of the initial a-priori training dataset size in the efficiency and convergence of surrogate-based evolutionary optimization, by Daniel Gonzalez Juarez and Esther Andres Perez -- Garteur AD/AG52: Surrogate-based global optimization methods in preliminary aerodynamic design, by E. Andres-Perez et al. -- A Response Surface Based Strategy for Accelerated Compressor Map Computation, by Dmitrij Ivanov, Dieter Bestle, and Christian Janke -- Surrogate-Based Shape Optimization of the ERCOFTAC Centrifugal Pump Impeller, by Remo De Donno and Stefano Rebay and Antonio Ghidoni -- CFD based Design Optimization of a Cabinet Nitrogen Generator, by Bárbara Arizmendi Gutiérrez and Edmondo Minisci -- Delaunay-based global optimization in nonconvex domains defined by hidden constraints, by Shahrouz Ryan Alimo, Pooriya Beyhaghi, and Thomas R. Bewley -- PART III: Applications of optimization in engineering design automation -- Optimized Vehicle Dynamics Virtual Sensing using Metaheuristic Optimization and Unscented Kalman Filter, by Manuel Acosta and Stratis Kanarachos -- On Combinatorial Problem Representation based Ascent Assembly Design Optimization, by Michael Hellwig, Doris Entner, Thorsten Prante, Alexandru-Ciprian Zavoianu, Martin Schwarz, and Klara Fink -- On the Optimization of 2D Path Network Layouts in Engineering Designs via Evolutionary Computation Techniques, by Alexandru-Ciprian Ziivoianu, Susanne Saminger-Platz, Doris Entner, Thorsten Prante, Michael Hellwig, Martin Schwarz, and Klara Fink -- Taking Advantage of 3D Printing so as to Simultaneously Reduce Weight and Mechanical Bonding Stress, by Markus Schatz, Robert Schweikle, Christian Lausch, Michael Jentsch and Werner Konrad -- Interactive Optimization of Path Planning for a Robot Enabled by Virtual Commissioning, by Ruth Fleisch, Doris Entner, Thorsten Prante, Reinhard Pfefferkorn -- Box-Type Boom Design using Surrogate Modeling: Introducing an Industrial Optimization Benchmark, by Philipp Fleck, Doris Entner, Clemens Munzer, Michael Kommenda, Thorsten Prante, Martin Schwarz, Martin Hachl, and Michael Affenzeller -- Knowledge Objects Enable Mass-Individualization, by Joel Johansson and Fredrik Elgh -- Free-form Optimization of a Shell Structure with Curvature Constraint, by Masatoshi Shimoda and Kenichi Ikeya -- Application of game theory and evolutionary algorithm to the regional turboprop aircraft wing optimization, by Pierluigi Della Vecchia, Luca Stingo, Fabrizio Nicolosi, Agostino De Marco, Elia Daniele, and Egidio D' Amato -- Industrial Application of Genetic Algorithms to cost reduction of a Wind Turbine equipped with a Tuned Mass Damper, by Jordi Pons-Prats, Marti Coma, Jaume Betran, Xavier Roca and Gabriel Bugeda -- PART IV: Optimization under uncertainty -- Aerodynamic Shape Optimization by Considering Geometrical Imperfections Using Polynomial Chaos Expansion and Evolutionary Algorithms, by Athanasios G. Liatsikouras, Varvara G. Asouti, Kyriakos C. Giannakoglou, and Guillaume Pierrot -- Multiobjective Optimisation of Aircraft Trajectories underWind Uncertainty using GPU Parallelism and Genetic Algorithms, by Daniel Gonzalez-Arribas, Manuel Soler, and Manuel Sanjurjo-Rivo -- Multi-objective Optimization of A-Class Catamaran Foils Adopting a Geometric Parameterization Based on RBF Mesh Morphing, by Marco Evangelos Biancolini, Ubaldo Cella, Alberto Clarich and Francesco Franchini -- Development of an Efficient Multifidelity Non-Intrusive Uncertainty Quantification Method, by Saeed Salehi, Mehrdad Raisee, Michel J. Cervantes and Ahmad Nourbakhsh -- PART V: Multi-disciplinary design optimization -- Evolving Neural Networks to Optimize Material Usage in Blow Molded Containers, by Roman Denysiuk, Fernando M. Duarte, Joao P. Nunes and Antonio GasparCunha -- Coupled Subsystem Optimization for Preliminary Core Engine Design, by Simon Extra, Michael Lockan, Dieter Bestle, and Peter Flassig -- Progresses in Fluid-Structure Interaction and Structural Optimization Numerical Tools within the EU CS RIBES Project, by Marco Evangelos Biancolini, Ubaldo Cella, Corrado Groth, Andrea Chiappa, Francesco Giorgetti and Fabrizio Nicolosi. . |
| Record Nr. | UNINA-9910337624903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||