Description du livre Buch. Etat : 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. N� de r�f. du vendeur 9789401795197

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Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design : Applications to Aeronautics and UAV Design

Periaux, Jacques; Gonzalez, Felipe; Lee, Dong Seop Chris

Edit� par Springer (2015)

ISBN 10 : 9401795193 ISBN 13 : 9789401795197

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Description du livre Etat : New. N� de r�f. du vendeur 21877170-n

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Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design: Applications to Aeronautics (Intelligent Systems, Control and Automation: Science and Engineering)

Periaux

Edit� par Springer (2015)

ISBN 10 : 9401795193 ISBN 13 : 9789401795197

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Description du livre Etat : New. 305. N� de r�f. du vendeur 26372117383

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Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design

Jacques Periaux|Felipe Gonzalez|Dong Seop Chris Lee

Edit� par Springer Netherlands (2015)

ISBN 10 : 9401795193 ISBN 13 : 9789401795197

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Description du livre Etat : 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. N� de r�f. du vendeur 23312536

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Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design : Applications to Aeronautics and UAV Design

Jacques Periaux

Edit� par Springer Netherlands (2015)

ISBN 10 : 9401795193 ISBN 13 : 9789401795197

Neuf Couverture rigide Quantit� disponible : 1

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Description du livre Buch. Etat : 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. N� de r�f. du vendeur 9789401795197

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