Many complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies.
This book describes the role of advanced innovative evolution tools in the solution, or the set of solutions of single or multi disciplinary optimization. These tools use the concept of multi-population, asynchronous parallelization and hierarchical topology which allows different models including precise, intermediate and approximate models with each node belonging to the different hierarchical layer handled by a different Evolutionary Algorithm. The efficiency of evolutionary algorithms for both single and multi-objective optimization problems are significantly improved by the coupling of EAs with games and in particular by a new dynamic methodology named “Hybridized Nash-Pareto games”.
Multi objective Optimization techniques and robust design problems taking into account uncertainties are introduced and explained in detail. Several applications dealing with civil aircraft and UAV, UCAV systems are implemented numerically and discussed. Applications of increasing optimization complexity are presented as well as two hands-on test cases problems. These examples focus on aeronautical applications and will be useful to the practitioner in the laboratory or in industrial design environments.
The evolutionary methods coupled with games presented in this volume can be applied to other areas including surface and marine transport, structures, biomedical engineering, renewable energy and environmental problems.
This book will be of interest to students, young scientists and engineers involved in the field of multi physics optimization.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Foreword by William Fitzgibbon
Foreword by Roland Glowinski
Preface
1 Introduction
2 Evolutionary Methods
3. Multi-Objective EAs And Game Theory
4. Advanced Techniques for Evolutionary Algorithms (EAs)
5. Multidisciplinary Design Optimisation and Robust Design in Aerospace Systems
6. A Framework for Numerical Design and Optimization Algorithms
7. Single Objective Model Test Case Problems
8. Multi-Objective Optimization Model Test Case Problems
9. Robust Multi-Objective and Multi-Disciplinary Model Optimization Test Cases
10. Robust Airfoil Design Optimization with Morphing Techniques
Appendix: Two "Hand-On" Examples of Optimization Problems
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies.This book describes the role of advanced innovative evolution tools in the solution, or the set of solutions of single or multi disciplinary optimization. These tools use the concept of multi-population, asynchronous parallelization and hierarchical topology which allows different models including precise, intermediate and approximate models with each node belonging to the different hierarchical layer handled by a different Evolutionary Algorithm. The efficiency of evolutionary algorithms for both single and multi-objective optimization problems are significantly improved by the coupling of EAs with games and in particular by a new dynamic methodology named 'Hybridized Nash-Pareto games'.Multi objective Optimization techniques and robust design problems taking into account uncertainties are introduced and explained in detail. Several applications dealing with civil aircraft and UAV, UCAV systems are implemented numerically and discussed. Applications of increasing optimization complexity are presented as well as two hands-on test cases problems. These examples focus on aeronautical applications and will be useful to the practitioner in the laboratory or in industrial design environments.The evolutionary methods coupled with games presented in this volume can be applied to other areas including surface and marine transport, structures, biomedical engineering, renewable energy and environmental problems.This book will be of interest to students, young scientists and engineers involved in the field of multi physics optimization. 328 pp. Englisch. Codice articolo 9789401795197
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a detailed description of methodologies that combine game theoretical strategy with Evolutionary AlgorithmsApplications may be found in complex multi-physics optimization problems drawn from a wide variety of areas such as biomedical engi. Codice articolo 23312536
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies.This book describes the role of advanced innovative evolution tools in the solution, or the set of solutions of single or multi disciplinary optimization. These tools use the concept of multi-population, asynchronous parallelization and hierarchical topology which allows different models including precise, intermediate and approximate models with each node belonging to the different hierarchical layer handled by a different Evolutionary Algorithm. The efficiency of evolutionary algorithms for both single and multi-objective optimization problems are significantly improved by the coupling of EAs with games and in particular by a new dynamic methodology named 'Hybridized Nash-Pareto games'.Multi objective Optimization techniques and robust design problems taking into account uncertainties are introduced and explained in detail. Several applications dealing with civil aircraft and UAV, UCAV systems are implemented numerically and discussed. Applications of increasing optimization complexity are presented as well as two hands-on test cases problems. These examples focus on aeronautical applications and will be useful to the practitioner in the laboratory or in industrial design environments.The evolutionary methods coupled with games presented in this volume can be applied to other areas including surface and marine transport, structures, biomedical engineering, renewable energy and environmental problems.This book will be of interest to students, young scientists and engineers involved in the field of multi physics optimization. Codice articolo 9789401795197
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