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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 science - 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 | ||
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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 | ||
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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 | ||
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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 | ||
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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 online resource (314 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
accuracy levels
aeroacoustics archiving strategy artificial neural networks (ANN) limited training data Automatic Voltage Regulation system availability bankruptcy problem beam improvements beam T-junctions models Chaotic optimization classification control design differential evolution distance-based diversity control encoding evolutionary algorithm evolutionary algorithms evolutionary optimization experimental study finite elements analysis Fractional Order Proportional-Integral-Derivative controller genetic algorithm genetic programming global optimisation global optimization Gough-Stewart launchers machine learning machine vision min-max optimization mono and multi-objective optimization multi-objective decision-making multi-objective evolutionary algorithms multi-objective optimisation multi-objective optimization mutation-selection nearly optimal solutions neural networks non-linear parametric identification optimal control optimal design parallel manipulator parameter optimization Pareto front performance metrics plastics thermoforming preference in multi-objective optimization preventive maintenance scheduling quality control real application reusable launch vehicle robust robust design roughness measurement sheet thickness distribution space systems spaceplanes surrogate T-junctions trailing-edge noise trajectory optimisation two-stage method uncertainty quantification unscented transformation worst-case scenario Yellow Saddle Goatfish Algorithm |
| 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 Automatic control Robotics Mechatronics Planetary science Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics) Astrophysics and Astroparticles Control, Robotics, Mechatronics Planetology |
| 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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