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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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Asteroid and space debris manipulation : advances from the Stardust Research Network / / edited by Massimiliano Vasile, Edmondo Minisci
| Asteroid and space debris manipulation : advances from the Stardust Research Network / / edited by Massimiliano Vasile, Edmondo Minisci |
| Pubbl/distr/stampa | Reston, Virginia : , : American Institute of Aeronautics and Astronautics, Inc., , 2016 |
| Descrizione fisica | 1 online resource (73 pages) : illustrations, graphs, tables |
| Disciplina | 523.44 |
| Collana | Progress in Astronautics and Aeronautics |
| Soggetto topico |
Asteroids
Space debris Space environment |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-5231-2071-1
1-62410-324-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910467029903321 |
| Reston, Virginia : , : American Institute of Aeronautics and Astronautics, Inc., , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Asteroid and space debris manipulation : advances from the Stardust Research Network / / edited by Massimiliano Vasile, Edmondo Minisci
| Asteroid and space debris manipulation : advances from the Stardust Research Network / / edited by Massimiliano Vasile, Edmondo Minisci |
| Pubbl/distr/stampa | Reston, Virginia : , : American Institute of Aeronautics and Astronautics, Inc., , 2016 |
| Descrizione fisica | 1 online resource (73 pages) : illustrations, graphs, tables |
| Disciplina | 523.44 |
| Collana | Progress in Astronautics and Aeronautics |
| Soggetto topico |
Asteroids
Space debris Space environment |
| ISBN |
1-5231-2071-1
1-62410-324-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910796027603321 |
| Reston, Virginia : , : American Institute of Aeronautics and Astronautics, Inc., , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Asteroid and space debris manipulation : advances from the Stardust Research Network / / edited by Massimiliano Vasile, Edmondo Minisci
| Asteroid and space debris manipulation : advances from the Stardust Research Network / / edited by Massimiliano Vasile, Edmondo Minisci |
| Pubbl/distr/stampa | Reston, Virginia : , : American Institute of Aeronautics and Astronautics, Inc., , 2016 |
| Descrizione fisica | 1 online resource (73 pages) : illustrations, graphs, tables |
| Disciplina | 523.44 |
| Collana | Progress in Astronautics and Aeronautics |
| Soggetto topico |
Asteroids
Space debris Space environment |
| ISBN |
1-5231-2071-1
1-62410-324-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910812528803321 |
| Reston, Virginia : , : American Institute of Aeronautics and Astronautics, Inc., , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinspired Optimization Methods and Their Applications [[electronic resource] ] : 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings / / edited by Bogdan Filipič, Edmondo Minisci, Massimiliano Vasile
| Bioinspired Optimization Methods and Their Applications [[electronic resource] ] : 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings / / edited by Bogdan Filipič, Edmondo Minisci, Massimiliano Vasile |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 322 p. 18 illus.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer networks
Artificial intelligence Computers, Special purpose Computers Computer Communication Networks Artificial Intelligence Special Purpose and Application-Based Systems Computing Milieux |
| ISBN | 3-030-63710-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996418220403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinspired Optimization Methods and Their Applications : 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings / / edited by Bogdan Filipič, Edmondo Minisci, Massimiliano Vasile
| Bioinspired Optimization Methods and Their Applications : 9th International Conference, BIOMA 2020, Brussels, Belgium, November 19–20, 2020, Proceedings / / edited by Bogdan Filipič, Edmondo Minisci, Massimiliano Vasile |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 322 p. 18 illus.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer networks
Artificial intelligence Computers, Special purpose Computers Computer Communication Networks Artificial Intelligence Special Purpose and Application-Based Systems Computing Milieux |
| ISBN | 3-030-63710-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910427671503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| 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 | ||
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Evolutionary Algorithms in Engineering Design Optimization
| Evolutionary Algorithms in Engineering Design Optimization |
| Autore | Greiner David |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (314 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
Automatic Voltage Regulation system
Chaotic optimization Fractional Order Proportional-Integral-Derivative controller Yellow Saddle Goatfish Algorithm two-stage method mono and multi-objective optimization multi-objective optimization optimal design Gough–Stewart parallel manipulator performance metrics diversity control genetic algorithm bankruptcy problem classification T-junctions neural networks finite elements analysis surrogate beam improvements beam T-junctions models artificial neural networks (ANN) limited training data multi-objective decision-making Pareto front preference in multi-objective optimization aeroacoustics trailing-edge noise global optimization evolutionary algorithms nearly optimal solutions archiving strategy evolutionary algorithm non-linear parametric identification multi-objective evolutionary algorithms availability design preventive maintenance scheduling encoding accuracy levels plastics thermoforming sheet thickness distribution evolutionary optimization genetic programming control differential evolution reusable launch vehicle quality control roughness measurement machine vision machine learning parameter optimization distance-based mutation-selection real application experimental study global optimisation worst-case scenario robust min-max optimization optimal control multi-objective optimisation robust design trajectory optimisation uncertainty quantification unscented transformation spaceplanes space systems launchers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566486903321 |
Greiner David
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Stardust Final Conference : Advances in Asteroids and Space Debris Engineering and Science / / edited by Massimiliano Vasile, Edmondo Minisci, Leopold Summerer, Peter McGinty
| Stardust Final Conference : Advances in Asteroids and Space Debris Engineering and Science / / edited by Massimiliano Vasile, Edmondo Minisci, Leopold Summerer, Peter McGinty |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (323 pages) : illustrations, tables |
| Disciplina | 523.2 |
| Collana | Astrophysics and Space Science Proceedings |
| Soggetto topico |
Space sciences
Astrophysics Control engineering Robotics Mechatronics Planetology Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics) Astrophysics and Astroparticles Control, Robotics, Mechatronics |
| ISBN | 3-319-69956-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Section 1: Mission to Asteroids -- Chapter 1: Optimization of Asteroid Capture Missions using Earth Resonant Encounters -- Chapter 2: Evaluating Proximity Operations through High-fidelity Asteroid Deflection Evaluation Software (HADES) -- Chapter 3: Prediction of Orbital Parameters for Undiscovered Potentially Hazardous Asteroids Using Machine Learning -- Section 2: Orbit and Uncertainty Propagation -- Chapter 4: Exploring Sensitivity of Orbital Dynamics with Respect to Model Truncation. The Frozen Orbits Approach -- Chapter 5: A Parametric Study of the Orbital Lifetime of Super GTO and SSTO Orbits Based on Semi-Analytical Integration -- Chapter 6: On the Use of Positive Polynomials for the Estimation of Upper and Lower Expectations in Orbital Dynamics -- Section 3: Space Debris Monitoring, Mitigation, and Removal -- Chapter 7: Trajectory Generation Method for Robotic Free-Floating Capture of a Non- Cooperative, Tumbling Target -- Chapter 8: Taxonomy of LEO Space Debris Population for ADR Capture Methods Selection -- Chapter 9: Remote Sensing for Planar Electrostatic Characterization using the Multi-Sphere Method -- Chapter 10: Active Debris Removal and Space Debris Mitigation using Hybrid Propulsion Solutions -- Chapter 11: The Puzzling Case of the Deep-Space Debris WT1190F: A Test Bed for Advanced SSA Techniques -- Chapter 12: Development of a Debris Index -- Section 4: Re-Entry Analysis and Design for Demise -- Chapter 13: A Multidisciplinary Approach of Demisable Tanks’ Re-Entry -- Chapter 14: Design-for-Demise Analysis using the SAM Destructive Re-Entry Model -- Chapter 15: Low-Fidelity Modelling for Aerodynamic Characteristics of Re-Entry Objects -- Chapter 16: Re-Entry Predictions of Potentially Dangerous Uncontrolled Satellites: Challenges and Civil Protection Applications -- Chapter 17: Uncertainty Quantification for Destructive Re-Entry Risk Analysis – JAXA Perspective. |
| Record Nr. | UNINA-9910300556903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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