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Advances in computational methods and technologies in aeronautics and industry / / edited by Dietrich Knoerzer, Jacques Periaux, and Tero Tuovinen
| Advances in computational methods and technologies in aeronautics and industry / / edited by Dietrich Knoerzer, Jacques Periaux, and Tero Tuovinen |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (290 pages) |
| Disciplina | 551.48 |
| Collana | Computational Methods in Applied Sciences |
| Soggetto topico |
Aeronautics
Aeronàutica Models matemàtics Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-12019-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996503550903316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in computational methods and technologies in aeronautics and industry / / edited by Dietrich Knoerzer, Jacques Periaux, and Tero Tuovinen
| Advances in computational methods and technologies in aeronautics and industry / / edited by Dietrich Knoerzer, Jacques Periaux, and Tero Tuovinen |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (290 pages) |
| Disciplina | 551.48 |
| Collana | Computational Methods in Applied Sciences |
| Soggetto topico |
Aeronautics
Aeronàutica Models matemàtics Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-12019-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910634036003321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Effective Flow Separation Control for Aircraft Drag Reduction : Modeling, Simulations and Experimentations / / edited by Ning Qin, Jacques Periaux, Gabriel Bugeda
| Advances in Effective Flow Separation Control for Aircraft Drag Reduction : Modeling, Simulations and Experimentations / / edited by Ning Qin, Jacques Periaux, Gabriel Bugeda |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (340 pages) |
| Disciplina | 629.1323 |
| Collana | Computational Methods in Applied Sciences |
| Soggetto topico |
Aerospace engineering
Astronautics Fluid mechanics Physics Mathematical optimization Aerospace Technology and Astronautics Engineering Fluid Dynamics Numerical and Computational Physics, Simulation Optimization |
| ISBN | 3-030-29688-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910366609003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
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Computation and Big Data for Transport : Digital Innovations in Surface and Air Transport Systems / / edited by Pedro Diez, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, Jordi Pons-Prats
| Computation and Big Data for Transport : Digital Innovations in Surface and Air Transport Systems / / edited by Pedro Diez, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, Jordi Pons-Prats |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 249 p. 87 illus., 70 illus. in color.) |
| Disciplina | 385.0724 |
| Collana | Computational Methods in Applied Sciences |
| Soggetto topico |
Transportation
Transportation engineering Traffic engineering Computer mathematics Computer simulation Aerospace engineering Astronautics Big data Transportation Technology and Traffic Engineering Computational Science and Engineering Simulation and Modeling Aerospace Technology and Astronautics Big Data |
| ISBN | 3-030-37752-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preliminary Table of Contents: Reviews and perspectives -- White paper: Computational models for the model shift: a State of the art review, by Sara Ahetze Puignau, Jordi Pons-Prats, Sergi Sauri -- Part 1. Maritime -- Shipping 4.0 – Digitalization of maritime industry, by Trond Kvamsdal -- Challenges on computational models for ship design and navigation: Ongoing projects at CIMNE, by Julio Garcia -- Fast Simulation-Assisted Shape Correction after Machining, by Ramiro Mena -- Part 2. Automotive -- Design optimization challenges and opportunities for mobility applications, by Carlo Poloni -- PGD for interactive aerodynamic optimization, by Vasilis Tsiolakis and Henry Bensler -- Parametric wave progation for radar simulation, by Rubén Ibañez -- Application of Big Data Analytics for Understanding the Complexity of Vehicle Routing Problems, by Jussi Rasku and Tommi Karkkainen -- Part 3. Logistics -- Transport management with LogiApps: Maximizing efficiency with optimization and simplicity, by Jyri Leskinen, Panu Silvasti, and Jukka Toivanen -- Optimization of fleets and their Propulsive alternatives by operating under Motorways of the Sea conditions to Improve their Environmental Results and the Feasibility of the intermodal chains, by Alba Martínez-López and Lourdes Trujillo -- Part 4. Aeronautics -- Public Health Concerns Regarding Modern Transportation, by William E. Fitzgibbon -- Aircraft Multidisciplinary Design chain Opportunities and Transport Challenges, by Adel Abbas -- Part 5. White paper: Computation and Big Data Challenges and perspectives for Transport. |
| Record Nr. | UNINA-9910377819903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Methods and Models for Transport : New Challenges for the Greening of Transport Systems / / edited by Pedro Diez, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, Olli Bräysy
| Computational Methods and Models for Transport : New Challenges for the Greening of Transport Systems / / edited by Pedro Diez, Pekka Neittaanmäki, Jacques Periaux, Tero Tuovinen, Olli Bräysy |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (257 pages) : illustrations |
| Disciplina | 380.50184 |
| Collana | Computational Methods in Applied Sciences |
| Soggetto topico |
Transportation
Transportation engineering Traffic engineering Computer mathematics Computer simulation Aerospace engineering Astronautics Transportation Technology and Traffic Engineering Computational Science and Engineering Simulation and Modeling Aerospace Technology and Astronautics |
| ISBN | 3-319-54490-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Foreword -- Part I Reviews and perspectives -- 1 The Revolutionary Internet of Things , by Arian Razmi Farooji -- 2 A Computational Modeler’s Tour of the Port of Houston, by Niels Aalund, William Fitzgibbon -- 3 Agile deep learning UAVs operating in Smart Spaces: Collective Intelligence vs. ”Mission-Impossible”, by Michael Cochez, Jacques Periaux, Vagan Terziyan, Tero Tuovinen -- Part II Computational Methods and Models -- 4 A Simple Metaheuristic for the Fleet Size and Mix Problem with Time Windows, by Olli Bräysy, Wout Dullaert, Pasi P. Porkka -- 5 Green Route Allocation in a Transportation Network, by Victor Zakharov, Alexander Krylatov, Dmitriy Volf -- 6 Why to Climb if One Can Jump: A Hill Jumping Algorithm for the Vehicle Routing Problem with Time Windows, by David Mester, Olli Bräysy, Wout Dullaert -- 7 Clustering Driving Destinations Using a Modified DBSCAN Algorithm with Locally-defined Map-Based Thresholds, by Ghazaleh Panahandeh, Niklas Åkerblom -- 8 Automatic Customization Framework for Efficient Vehicle Routing System Deployment, by Jussi Rasku, Tuukka Puranen, Antoine Kalmbach, Tommi Kärkkäinen4 -- 9 The Multi-period Fleet Size and Mix Vehicle Routing Problem with Stochastic Demands, by Urooj Pasha, Arild Hoff, Lars Magnus Hvattum -- 10 Applying multi-objective robust design optimization procedure to the route planning of a commercial aircraft, by Jordi Pons-Prats, Gabriel Bugeda, Francisco Zarate, Eugenio Oñate, Jacques Periaux -- Part III Translational research -- 11 Reallocation of Logistics Costs in a Cooperative Network of Sawmills, by Patrik Flisberg, Mikael Frisk, Mario Guajardo, Mikael Rönnqvist -- 12 Impact of the Heterogeneity of the Ballast on the Dynamical Behavior of the Ballast-soil, by Lucio De Abreu Correa, Regis Cottereau, Estelle Bongini, Sofia Costa d’Aguiar, Baldrik Faure and Charles Voivret -- 13 Numerical and Parametric Study of MVGs on a UAV Geometry in Subsonic Flow, by Miguel Chavez, Oliver. M. F. Browne, Eusebio Valero -- 14 Investigating Side-wind Stability of High Speed Trains using High Resolution Large Eddy Simulations and Hybrid Models, by Moritz M. Fragner, Ralf Deiterding -- 15 Russian Mechanism to Support Renewable Energy Investments: Before and After Analysis, by Mariia Kozlova, Mikael Collan, Pasi Luukka. |
| Record Nr. | UNINA-9910299917003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Sciences and Artificial Intelligence in Industry : New Digital Technologies for Solving Future Societal and Economical Challenges
| Computational Sciences and Artificial Intelligence in Industry : New Digital Technologies for Solving Future Societal and Economical Challenges |
| Autore | Tuovinen Tero |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (278 pages) |
| Altri autori (Persone) |
PeriauxJacques
NeittaanmäkiPekka |
| Collana | Intelligent Systems, Control and Automation: Science and Engineering Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-70787-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Computational Sciences and Artificial Intelligence in Industry |
| Record Nr. | UNINA-9910497105203321 |
Tuovinen Tero
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational sciences and artificial intelligence in industry : new digital technologies for solving future societal and economical challenges / / Tero Tuovinen, Jacques Periaux, Pekka Neittaanmäki, editors
| Computational sciences and artificial intelligence in industry : new digital technologies for solving future societal and economical challenges / / Tero Tuovinen, Jacques Periaux, Pekka Neittaanmäki, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (278 pages) |
| Disciplina | 006.3 |
| Collana | Intelligent Systems, Control and Automation : Science and Engineering |
| Soggetto topico | Artificial intelligence |
| ISBN | 3-030-70787-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910522997403321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
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