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Autor Quagliarella, Domenico |
Documentos disponibles escritos por este autor (4)
Crear una solicitud de compra Refinar búsquedaAdvances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences / Gaspar-Cunha, António ; Periaux, Jacques ; Giannakoglou, Kyriakos C. ; Gauger, Nicolas R. ; Quagliarella, Domenico ; Greiner, David
TÃtulo : Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences Tipo de documento: documento electrónico Autores: Gaspar-Cunha, António, ; Periaux, Jacques, ; Giannakoglou, Kyriakos C., ; Gauger, Nicolas R., ; Quagliarella, Domenico, ; Greiner, David, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XI, 435 p. 221 ilustraciones, 172 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-57422-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia Computacional IngenierÃa de control Matemáticas de ingenierÃa Robótica Automatización TeorÃa de sistemas y control Control Clasificación: 006.3 Resumen: Este libro presenta versiones mejoradas y ampliadas de artÃculos seleccionados de EUROGEN 2019, una conferencia con interés en desarrollar o aplicar métodos evolutivos y deterministas en la optimización del diseño y con énfasis en aplicaciones industriales y sociales. Nota de contenido: Metaheuristics and Evolutionary Algorithms (including Evolutionary Programming, Evolution Strategies, Genetic Algorithms, Memetic Algorithms and Artificial Immune Systems, etc.) -- Multi-objective Evolutionary Algorithms and Constraint Handling Techniques -- Adjoint based and One-shot Methods -- Hybrid Optimisation methods (Gradient Based Methods, Combinatorial Optimization Methods, etc.) -- High Performance Computing and GPUs based Optimisation Algorithms -- Goal oriented optimization for mesh and meshless methods -- Game Strategies -- Surrogate Models for Optimisation -- Parallel and distributed Evolutionary Algorithms (from LANs to GRID) -- Multi-disciplinary Optimization Methods -- Design Optimisation under Uncertainties -- Multi-criteria Decision Making -- Topology Optimization -- Aeronautics, Aerospace, and Space -- Agriculture and Food Production -- Automotive -- Bio Engineering and Medicine -- CAD and Manufacturing -- Civil and Structural Engineering -- Economics and Finance -- Electromagnetics.-Electronics -- Energy, including Renewable Energy -- Environment -- Genetics -- Material Science and Technology -- Offshores, Coastal and Marine Engineering and Operations -- RAMS Analysis -- Risk Analysis -- Smart Materials and Structures -- Social Sciences and Politics -- Telecommunications. . Tipo de medio : Computadora Summary : This book presents improved and extended versions of selected papers from EUROGEN 2019, a conference with interest on developing or applying evolutionary and deterministic methods in optimization of design and emphasizing on industrial and societal applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences [documento electrónico] / Gaspar-Cunha, António, ; Periaux, Jacques, ; Giannakoglou, Kyriakos C., ; Gauger, Nicolas R., ; Quagliarella, Domenico, ; Greiner, David, . - 1 ed. . - [s.l.] : Springer, 2021 . - XI, 435 p. 221 ilustraciones, 172 ilustraciones en color.
ISBN : 978-3-030-57422-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia Computacional IngenierÃa de control Matemáticas de ingenierÃa Robótica Automatización TeorÃa de sistemas y control Control Clasificación: 006.3 Resumen: Este libro presenta versiones mejoradas y ampliadas de artÃculos seleccionados de EUROGEN 2019, una conferencia con interés en desarrollar o aplicar métodos evolutivos y deterministas en la optimización del diseño y con énfasis en aplicaciones industriales y sociales. Nota de contenido: Metaheuristics and Evolutionary Algorithms (including Evolutionary Programming, Evolution Strategies, Genetic Algorithms, Memetic Algorithms and Artificial Immune Systems, etc.) -- Multi-objective Evolutionary Algorithms and Constraint Handling Techniques -- Adjoint based and One-shot Methods -- Hybrid Optimisation methods (Gradient Based Methods, Combinatorial Optimization Methods, etc.) -- High Performance Computing and GPUs based Optimisation Algorithms -- Goal oriented optimization for mesh and meshless methods -- Game Strategies -- Surrogate Models for Optimisation -- Parallel and distributed Evolutionary Algorithms (from LANs to GRID) -- Multi-disciplinary Optimization Methods -- Design Optimisation under Uncertainties -- Multi-criteria Decision Making -- Topology Optimization -- Aeronautics, Aerospace, and Space -- Agriculture and Food Production -- Automotive -- Bio Engineering and Medicine -- CAD and Manufacturing -- Civil and Structural Engineering -- Economics and Finance -- Electromagnetics.-Electronics -- Energy, including Renewable Energy -- Environment -- Genetics -- Material Science and Technology -- Offshores, Coastal and Marine Engineering and Operations -- RAMS Analysis -- Risk Analysis -- Smart Materials and Structures -- Social Sciences and Politics -- Telecommunications. . Tipo de medio : Computadora Summary : This book presents improved and extended versions of selected papers from EUROGEN 2019, a conference with interest on developing or applying evolutionary and deterministic methods in optimization of design and emphasizing on industrial and societal applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences Tipo de documento: documento electrónico Autores: Minisci, Edmondo, ; Vasile, Massimiliano, ; Periaux, Jacques, ; Gauger, Nicolas R., ; Giannakoglou, Kyriakos C., ; Quagliarella, Domenico, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: X, 566 p. 272 ilustraciones ISBN/ISSN/DL: 978-3-319-89988-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Diseño de ingenierÃa Inteligencia Computacional Matemáticas Matemática Computacional y Análisis Numérico Clasificación: 620.0042 Resumen: Este volumen presenta material actualizado sobre el estado del arte en métodos evolutivos y deterministas para diseño, optimización y control con aplicaciones a problemas industriales y sociales de Europa, Asia y América. EUROGEN 2015 fue la undécima de una serie de conferencias internacionales dedicadas a reunir a especialistas de universidades, instituciones de investigación e industrias que desarrollan o aplican métodos evolutivos y deterministas en la optimización del diseño, con énfasis en la resolución de problemas industriales y sociales. La conferencia se organizó en torno a una serie de simposios paralelos, sesiones regulares y conferencias magistrales centradas en la optimización basada en sustitutos en el diseño aerodinámico, métodos adjuntos para la optimización estable e inestable, optimización del diseño multidisciplinario, optimización holÃstica en el diseño marino y estrategias de juego combinadas. con cálculo evolutivo, optimización bajo incertidumbre, optimización de topologÃa, planificación óptima, optimización de formas y programación de producción. Nota de contenido: 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 EmilianoIuliano -- 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 GarcÃa-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 EvolutionaryAlgorithm, 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 KoroÅ¡ec -- 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. . Tipo de medio : Computadora Summary : This volume presents up-to-date material on the state of the art in evolutionary and deterministic methods for design, optimization and control with applications to industrial and societal problems from Europe, Asia, and America. EUROGEN 2015 was the 11th of a series of International Conferences devoted to bringing together specialists from universities, research institutions and industries developing or applying evolutionary and deterministic methods in design optimization, with emphasis on solving industrial and societal problems. The conference was organised around a number of parallel symposia, regular sessions, and keynote lectures focused on surrogate-based optimization in aerodynamic design, adjoint methods for steady & unsteady optimization, multi-disciplinary design optimization, holistic optimization in marine design, game strategies combined with evolutionary computation, optimization under uncertainty, topology optimization, optimal planning, shape optimization, and production scheduling. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences [documento electrónico] / Minisci, Edmondo, ; Vasile, Massimiliano, ; Periaux, Jacques, ; Gauger, Nicolas R., ; Giannakoglou, Kyriakos C., ; Quagliarella, Domenico, . - 1 ed. . - [s.l.] : Springer, 2019 . - X, 566 p. 272 ilustraciones.
ISBN : 978-3-319-89988-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Diseño de ingenierÃa Inteligencia Computacional Matemáticas Matemática Computacional y Análisis Numérico Clasificación: 620.0042 Resumen: Este volumen presenta material actualizado sobre el estado del arte en métodos evolutivos y deterministas para diseño, optimización y control con aplicaciones a problemas industriales y sociales de Europa, Asia y América. EUROGEN 2015 fue la undécima de una serie de conferencias internacionales dedicadas a reunir a especialistas de universidades, instituciones de investigación e industrias que desarrollan o aplican métodos evolutivos y deterministas en la optimización del diseño, con énfasis en la resolución de problemas industriales y sociales. La conferencia se organizó en torno a una serie de simposios paralelos, sesiones regulares y conferencias magistrales centradas en la optimización basada en sustitutos en el diseño aerodinámico, métodos adjuntos para la optimización estable e inestable, optimización del diseño multidisciplinario, optimización holÃstica en el diseño marino y estrategias de juego combinadas. con cálculo evolutivo, optimización bajo incertidumbre, optimización de topologÃa, planificación óptima, optimización de formas y programación de producción. Nota de contenido: 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 EmilianoIuliano -- 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 GarcÃa-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 EvolutionaryAlgorithm, 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 KoroÅ¡ec -- 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. . Tipo de medio : Computadora Summary : This volume presents up-to-date material on the state of the art in evolutionary and deterministic methods for design, optimization and control with applications to industrial and societal problems from Europe, Asia, and America. EUROGEN 2015 was the 11th of a series of International Conferences devoted to bringing together specialists from universities, research institutions and industries developing or applying evolutionary and deterministic methods in design optimization, with emphasis on solving industrial and societal problems. The conference was organised around a number of parallel symposia, regular sessions, and keynote lectures focused on surrogate-based optimization in aerodynamic design, adjoint methods for steady & unsteady optimization, multi-disciplinary design optimization, holistic optimization in marine design, game strategies combined with evolutionary computation, optimization under uncertainty, topology optimization, optimal planning, shape optimization, and production scheduling. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications : Proceedings of the 2020 UQOP International Conference Tipo de documento: documento electrónico Autores: Vasile, Massimiliano, ; Quagliarella, Domenico, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: IX, 457 p. 172 ilustraciones, 137 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-80542-5 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: IngenierÃa Aeroespacial Astronáutica Optimización matemática TecnologÃa aeroespacial y astronáutica Exploración espacial y astronáutica Mejoramiento Clasificación: 629.1 Resumen: La Conferencia Internacional sobre Cuantificación y Optimización de la Incertidumbre de 2020 reunió a investigadores de renombre internacional en los campos de la optimización y la cuantificación de la incertidumbre. Los procedimientos resultantes cubren todos los aspectos relacionados con la gestión y optimización de la incertidumbre computacional, con especial énfasis en los problemas de ingenierÃa aeroespacial. Las contribuciones del libro están organizadas en cuatro temas principales: Aplicaciones de la incertidumbre en la ingenierÃa aeroespacial Probabilidad, teorÃa y aplicaciones imprecisas Optimización del diseño robusto y basado en la confiabilidad en la ingenierÃa aeroespacial Cuantificación, identificación y calibración de la incertidumbre en modelos aeroespaciales Este volumen de actas es útil en todas las disciplinas. ya que reúne la experiencia de los investigadores teóricos y de aplicaciones en un marco unificado. Nota de contenido: Chapter 1. Cloud Uncertainty Quantification for Runback Ice Formations in Anti-Ice Electro-Thermal Ice Protection Systems -- Chapter 2. Multi-fidelity Surrogate Assisted Design Optimisation of an Airfoil under Uncertainty using Far-Field Drag Approximation -- Chapter 3. Scalable dynamic asynchronous Monte Carlo framework applied to wind engineering problems -- Chapter 4. Multi-Objective Optimal Design and Maintenance for Systems Based on Calendar Times Using MOEA/D-DE -- Chapter 5. From Uncertainty Quanti cation to Shape Optimization: Cross-Fertilization of Methods for Dimensionality Reduction -- Chapter 6. Multi-Objective Robustness Analysis of the Polymer Extrusion Process -- Chapter 7. Quantification of operational and geometrical uncertainties of a 1.5 stage axial compressor with cavity leakage flows -- Chapter 8. Can Uncertainty Propagation Solve the Mysterious Case of Snoopy ? -- Chapter 9. Robust Particle Filter for Space Navigation under Epistemic Uncertainty -- Chapter 10. Computingbounds for imprecise continuous-time Markov chains using normal cones -- Chapter 11. Simultaneous Sampling for Robust Markov Chain Monte Carlo Inference -- Chapter 12. Computing Expected Hitting Times for Imprecise Markov Chains -- Chapter 13. Multi-Objective Robust Trajectory Optimization of Multi Asteroid Fly-By Under Epistemic Uncertainty -- Chapter 14. Reliability-based Robust Design Optimization of a Jet Engine Nacelle -- Chapter 15. Bayesian Optimization for Robust Solutions under Uncertain Input -- Chapter 16. Optimization under Uncertainty of Shock Control Bumps for Transonic Wings -- Chapter 17. Multi-objective design optimisation of an airfoil with geometrical uncertainties leveraging multi- delity Gaussian process regression -- Chapter 18. High-Lift Devices Topology Robust Optimisation using Machine Learning Assisted Optimisation -- Chapter 19. Network Resilience Optimisation of Complex Systems -- Chapter 20. Gaussian Processes for CVaR approximation in Robust Aerodynamic Shape Design -- Chapter 21. Inference methods for gas/surface interaction models: from deterministic approaches to Bayesian techniques -- Chapter 22. Bayesian Adaptive Selection Under Prior Ignorance -- Chapter 23. A Machine-Learning Framework for Plasma-Assisted Combustion using Principal Component Analysis and Gaussian Process Regression -- Chapter 24. Estimating exposure fraction from radiation biomarkers: a comparison of frequentist and Bayesian approaches -- Chapter 25. A Review of some recent advancements in Non-Ideal Compressible Fluid Dynamics -- Chapter 26. Dealing with high dimensional inconsistent measurements in inverse problems using surrogate modeling: an approach based on sets and intervals -- Chapter 27. Stochastic Preconditioners for Domain Decomposition Methods -- Index. Tipo de medio : Computadora Summary : The 2020 International Conference on Uncertainty Quantification & Optimization gathered together internationally renowned researchers in the fields of optimization and uncertainty quantification. The resulting proceedings cover all related aspects of computational uncertainty management and optimization, with particular emphasis on aerospace engineering problems. The book contributions are organized under four major themes: Applications of Uncertainty in Aerospace & Engineering Imprecise Probability, Theory and Applications Robust and Reliability-Based Design Optimisation in Aerospace Engineering Uncertainty Quantification, Identification and Calibration in Aerospace Models This proceedings volume is useful across disciplines, as it brings the expertise of theoretical and application researchers together in a unified framework. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications : Proceedings of the 2020 UQOP International Conference [documento electrónico] / Vasile, Massimiliano, ; Quagliarella, Domenico, . - 1 ed. . - [s.l.] : Springer, 2021 . - IX, 457 p. 172 ilustraciones, 137 ilustraciones en color.
ISBN : 978-3-030-80542-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: IngenierÃa Aeroespacial Astronáutica Optimización matemática TecnologÃa aeroespacial y astronáutica Exploración espacial y astronáutica Mejoramiento Clasificación: 629.1 Resumen: La Conferencia Internacional sobre Cuantificación y Optimización de la Incertidumbre de 2020 reunió a investigadores de renombre internacional en los campos de la optimización y la cuantificación de la incertidumbre. Los procedimientos resultantes cubren todos los aspectos relacionados con la gestión y optimización de la incertidumbre computacional, con especial énfasis en los problemas de ingenierÃa aeroespacial. Las contribuciones del libro están organizadas en cuatro temas principales: Aplicaciones de la incertidumbre en la ingenierÃa aeroespacial Probabilidad, teorÃa y aplicaciones imprecisas Optimización del diseño robusto y basado en la confiabilidad en la ingenierÃa aeroespacial Cuantificación, identificación y calibración de la incertidumbre en modelos aeroespaciales Este volumen de actas es útil en todas las disciplinas. ya que reúne la experiencia de los investigadores teóricos y de aplicaciones en un marco unificado. Nota de contenido: Chapter 1. Cloud Uncertainty Quantification for Runback Ice Formations in Anti-Ice Electro-Thermal Ice Protection Systems -- Chapter 2. Multi-fidelity Surrogate Assisted Design Optimisation of an Airfoil under Uncertainty using Far-Field Drag Approximation -- Chapter 3. Scalable dynamic asynchronous Monte Carlo framework applied to wind engineering problems -- Chapter 4. Multi-Objective Optimal Design and Maintenance for Systems Based on Calendar Times Using MOEA/D-DE -- Chapter 5. From Uncertainty Quanti cation to Shape Optimization: Cross-Fertilization of Methods for Dimensionality Reduction -- Chapter 6. Multi-Objective Robustness Analysis of the Polymer Extrusion Process -- Chapter 7. Quantification of operational and geometrical uncertainties of a 1.5 stage axial compressor with cavity leakage flows -- Chapter 8. Can Uncertainty Propagation Solve the Mysterious Case of Snoopy ? -- Chapter 9. Robust Particle Filter for Space Navigation under Epistemic Uncertainty -- Chapter 10. Computingbounds for imprecise continuous-time Markov chains using normal cones -- Chapter 11. Simultaneous Sampling for Robust Markov Chain Monte Carlo Inference -- Chapter 12. Computing Expected Hitting Times for Imprecise Markov Chains -- Chapter 13. Multi-Objective Robust Trajectory Optimization of Multi Asteroid Fly-By Under Epistemic Uncertainty -- Chapter 14. Reliability-based Robust Design Optimization of a Jet Engine Nacelle -- Chapter 15. Bayesian Optimization for Robust Solutions under Uncertain Input -- Chapter 16. Optimization under Uncertainty of Shock Control Bumps for Transonic Wings -- Chapter 17. Multi-objective design optimisation of an airfoil with geometrical uncertainties leveraging multi- delity Gaussian process regression -- Chapter 18. High-Lift Devices Topology Robust Optimisation using Machine Learning Assisted Optimisation -- Chapter 19. Network Resilience Optimisation of Complex Systems -- Chapter 20. Gaussian Processes for CVaR approximation in Robust Aerodynamic Shape Design -- Chapter 21. Inference methods for gas/surface interaction models: from deterministic approaches to Bayesian techniques -- Chapter 22. Bayesian Adaptive Selection Under Prior Ignorance -- Chapter 23. A Machine-Learning Framework for Plasma-Assisted Combustion using Principal Component Analysis and Gaussian Process Regression -- Chapter 24. Estimating exposure fraction from radiation biomarkers: a comparison of frequentist and Bayesian approaches -- Chapter 25. A Review of some recent advancements in Non-Ideal Compressible Fluid Dynamics -- Chapter 26. Dealing with high dimensional inconsistent measurements in inverse problems using surrogate modeling: an approach based on sets and intervals -- Chapter 27. Stochastic Preconditioners for Domain Decomposition Methods -- Index. Tipo de medio : Computadora Summary : The 2020 International Conference on Uncertainty Quantification & Optimization gathered together internationally renowned researchers in the fields of optimization and uncertainty quantification. The resulting proceedings cover all related aspects of computational uncertainty management and optimization, with particular emphasis on aerospace engineering problems. The book contributions are organized under four major themes: Applications of Uncertainty in Aerospace & Engineering Imprecise Probability, Theory and Applications Robust and Reliability-Based Design Optimisation in Aerospace Engineering Uncertainty Quantification, Identification and Calibration in Aerospace Models This proceedings volume is useful across disciplines, as it brings the expertise of theoretical and application researchers together in a unified framework. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems Tipo de documento: documento electrónico Autores: Andrés-Pérez, Esther, ; González, Leo M., ; Periaux, Jacques, ; Gauger, Nicolas, ; Quagliarella, Domenico, ; Giannakoglou, Kyriakos, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XII, 544 p. 313 ilustraciones ISBN/ISSN/DL: 978-3-319-89890-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Diseño de ingenierÃa Optimización matemática Inteligencia Computacional IngenierÃa de control IngenierÃa Aeroespacial Astronáutica TeorÃa de juego Mejoramiento TeorÃa de sistemas y control TecnologÃa aeroespacial y astronáutica Clasificación: 620.0042 Resumen: Este libro contiene treinta y cinco artÃculos seleccionados presentados en la Conferencia Internacional sobre Métodos Evolutivos y Deterministas para el Diseño, Optimización y Control con Aplicaciones a Problemas Industriales y Sociales (EUROGEN 2017). Esta fue una de las Conferencias Temáticas de la Comunidad Europea sobre Métodos Computacionales en Ciencias Aplicadas (ECCOMAS). Los temas tratados en los distintos capÃtulos reflejan el estado del arte en métodos y herramientas teóricos y numéricos para la optimización, el diseño de ingenierÃa y las aplicaciones sociales. El volumen se centra particularmente en sistemas inteligentes para problemas de optimización de diseño multidisciplinario (mdo) basados ​​en software de hibridación múltiple, métodos basados ​​en adjuntos y de una sola vez, cuantificación y optimización de la incertidumbre, optimización de diseño multidisciplinario, aplicaciones de la teorÃa de juegos a problemas de optimización industrial, aplicaciones. en ingenierÃa estructural y civil, diseño óptimo y métodos de optimización basados ​​en modelos sustitutos en diseño aerodinámico. Nota de contenido: 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 -- Onthe 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 GasparÂCunha -- 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. . Tipo de medio : Computadora Summary : This book contains thirty-five selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2017). This was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters reflect the state of the art in theoretical and numerical methods and tools for optimization, and engineering design and societal applications. The volume focuses particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems [documento electrónico] / Andrés-Pérez, Esther, ; González, Leo M., ; Periaux, Jacques, ; Gauger, Nicolas, ; Quagliarella, Domenico, ; Giannakoglou, Kyriakos, . - 1 ed. . - [s.l.] : Springer, 2019 . - XII, 544 p. 313 ilustraciones.
ISBN : 978-3-319-89890-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Diseño de ingenierÃa Optimización matemática Inteligencia Computacional IngenierÃa de control IngenierÃa Aeroespacial Astronáutica TeorÃa de juego Mejoramiento TeorÃa de sistemas y control TecnologÃa aeroespacial y astronáutica Clasificación: 620.0042 Resumen: Este libro contiene treinta y cinco artÃculos seleccionados presentados en la Conferencia Internacional sobre Métodos Evolutivos y Deterministas para el Diseño, Optimización y Control con Aplicaciones a Problemas Industriales y Sociales (EUROGEN 2017). Esta fue una de las Conferencias Temáticas de la Comunidad Europea sobre Métodos Computacionales en Ciencias Aplicadas (ECCOMAS). Los temas tratados en los distintos capÃtulos reflejan el estado del arte en métodos y herramientas teóricos y numéricos para la optimización, el diseño de ingenierÃa y las aplicaciones sociales. El volumen se centra particularmente en sistemas inteligentes para problemas de optimización de diseño multidisciplinario (mdo) basados ​​en software de hibridación múltiple, métodos basados ​​en adjuntos y de una sola vez, cuantificación y optimización de la incertidumbre, optimización de diseño multidisciplinario, aplicaciones de la teorÃa de juegos a problemas de optimización industrial, aplicaciones. en ingenierÃa estructural y civil, diseño óptimo y métodos de optimización basados ​​en modelos sustitutos en diseño aerodinámico. Nota de contenido: 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 -- Onthe 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 GasparÂCunha -- 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. . Tipo de medio : Computadora Summary : This book contains thirty-five selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2017). This was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters reflect the state of the art in theoretical and numerical methods and tools for optimization, and engineering design and societal applications. The volume focuses particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
