000 04598nam a22005775i 4500
001 978-94-017-9520-3
003 DE-He213
005 20200421111853.0
007 cr nn 008mamaa
008 150413s2015 ne | s |||| 0|eng d
020 _a9789401795203
_9978-94-017-9520-3
024 7 _a10.1007/978-94-017-9520-3
_2doi
050 4 _aTA174
072 7 _aTBD
_2bicssc
072 7 _aTEC016020
_2bisacsh
072 7 _aTEC016000
_2bisacsh
082 0 4 _a620.0042
_223
100 1 _aPeriaux, Jacques.
_eauthor.
245 1 0 _aEvolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design
_h[electronic resource] :
_bApplications to Aeronautics and UAV Design /
_cby Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2015.
300 _aXXI, 305 p. 246 illus., 198 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems, Control and Automation: Science and Engineering,
_x2213-8986 ;
_v75
505 0 _aForeword 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 _aMany 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 _aEngineering.
650 0 _aGame theory.
650 0 _aMathematical optimization.
650 0 _aEngineering design.
650 0 _aAutomotive engineering.
650 0 _aEconomic theory.
650 1 4 _aEngineering.
650 2 4 _aEngineering Design.
650 2 4 _aOptimization.
650 2 4 _aAutomotive Engineering.
650 2 4 _aEconomic Theory/Quantitative Economics/Mathematical Methods.
650 2 4 _aGame Theory, Economics, Social and Behav. Sciences.
700 1 _aGonzalez, Felipe.
_eauthor.
700 1 _aLee, Dong Seop Chris.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789401795197
830 0 _aIntelligent Systems, Control and Automation: Science and Engineering,
_x2213-8986 ;
_v75
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-017-9520-3
912 _aZDB-2-ENG
942 _cEBK
999 _c56205
_d56205