Cargando…

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

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....

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Periaux, Jacques (Autor), Gonzalez, Felipe (Autor), Lee, Dong Seop Chris (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Intelligent Systems, Control and Automation: Science and Engineering, 75
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-94-017-9520-3
003 DE-He213
005 20220118152416.0
007 cr nn 008mamaa
008 150413s2015 ne | s |||| 0|eng d
020 |a 9789401795203  |9 978-94-017-9520-3 
024 7 |a 10.1007/978-94-017-9520-3  |2 doi 
050 4 |a TA174 
072 7 |a TBD  |2 bicssc 
072 7 |a TEC016020  |2 bisacsh 
072 7 |a TBD  |2 thema 
082 0 4 |a 620.0042  |2 23 
100 1 |a Periaux, Jacques.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design  |h [electronic resource] :  |b Applications to Aeronautics and UAV Design /  |c by Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee. 
250 |a 1st ed. 2015. 
264 1 |a Dordrecht :  |b Springer Netherlands :  |b Imprint: Springer,  |c 2015. 
300 |a XXI, 305 p. 246 illus., 198 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Intelligent Systems, Control and Automation: Science and Engineering,  |x 2213-8994 ;  |v 75 
505 0 |a 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. 
520 |a 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 . The book will be of interest to students, young scientists and engineers involved in the fields of aerospace, aeronautics, UAV, aerial robotics design and multi physics optimization. 
650 0 |a Engineering design. 
650 0 |a Mathematical optimization. 
650 0 |a Automotive engineering. 
650 0 |a Econometrics. 
650 0 |a Game theory. 
650 1 4 |a Engineering Design. 
650 2 4 |a Optimization. 
650 2 4 |a Automotive Engineering. 
650 2 4 |a Quantitative Economics. 
650 2 4 |a Game Theory. 
700 1 |a Gonzalez, Felipe.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Lee, Dong Seop Chris.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9789401795197 
776 0 8 |i Printed edition:  |z 9789401795210 
776 0 8 |i Printed edition:  |z 9789401776981 
830 0 |a Intelligent Systems, Control and Automation: Science and Engineering,  |x 2213-8994 ;  |v 75 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-94-017-9520-3  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)