LEADER 05722nam 22007815 450 001 9910299825103321 005 20200705212001.0 010 $a94-017-9520-7 024 7 $a10.1007/978-94-017-9520-3 035 $a(CKB)3710000000400016 035 $a(EBL)2096846 035 $a(SSID)ssj0001501194 035 $a(PQKBManifestationID)11829721 035 $a(PQKBTitleCode)TC0001501194 035 $a(PQKBWorkID)11523420 035 $a(PQKB)10781332 035 $a(DE-He213)978-94-017-9520-3 035 $a(MiAaPQ)EBC2096846 035 $a(PPN)18548994X 035 $a(EXLCZ)993710000000400016 100 $a20150413d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEvolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design $eApplications to Aeronautics and UAV Design /$fby Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee 205 $a1st ed. 2015. 210 1$aDordrecht :$cSpringer Netherlands :$cImprint: Springer,$d2015. 215 $a1 online resource (323 p.) 225 1 $aIntelligent Systems, Control and Automation: Science and Engineering,$x2213-8986 ;$v75 300 $aDescription based upon print version of record. 311 $a94-017-9519-3 320 $aIncludes bibliographical references at the end of each chapters. 327 $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. 330 $aMany complex aeronautical design problems can be formulated with efficient multi-objective evolutionary optimization methods and game strategies. This book describes the role of advanced innovative evolution tools in the solution, or the set of solutions of single or multi disciplinary optimization. These tools use the concept of multi-population, asynchronous parallelization and hierarchical topology which allows different models including precise, intermediate and approximate models with each node belonging to the different hierarchical layer handled by a different Evolutionary Algorithm. The efficiency of evolutionary algorithms for both single and multi-objective optimization problems are significantly improved by the coupling of EAs with games and in particular by a new dynamic methodology named ?Hybridized Nash-Pareto games?. Multi objective Optimization techniques and robust design problems taking into account uncertainties are introduced and explained in detail. Several applications dealing with civil aircraft and UAV, UCAV systems are implemented numerically and discussed. Applications of increasing optimization complexity are presented as well as two hands-on test cases problems. These examples focus on aeronautical applications and will be useful to the practitioner in the laboratory or in industrial design environments. The evolutionary methods coupled with games presented in this volume can be applied to other areas including surface and marine transport, structures, biomedical engineering, renewable energy and environmental problems . The book will be of interest to students, young scientists and engineers involved in the fields of aerospace, aeronautics, UAV, aerial robotics design and multi physics optimization. 410 0$aIntelligent Systems, Control and Automation: Science and Engineering,$x2213-8986 ;$v75 606 $aEngineering design 606 $aMathematical optimization 606 $aAutomotive engineering 606 $aEconomic theory 606 $aGame theory 606 $aEngineering Design$3https://scigraph.springernature.com/ontologies/product-market-codes/T17020 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 606 $aAutomotive Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T17047 606 $aEconomic Theory/Quantitative Economics/Mathematical Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/W29000 606 $aGame Theory, Economics, Social and Behav. Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13011 615 0$aEngineering design. 615 0$aMathematical optimization. 615 0$aAutomotive engineering. 615 0$aEconomic theory. 615 0$aGame theory. 615 14$aEngineering Design. 615 24$aOptimization. 615 24$aAutomotive Engineering. 615 24$aEconomic Theory/Quantitative Economics/Mathematical Methods. 615 24$aGame Theory, Economics, Social and Behav. Sciences. 676 $a006.3823 700 $aPeriaux$b Jacques$4aut$4http://id.loc.gov/vocabulary/relators/aut$065495 702 $aGonzalez$b Felipe$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLee$b Dong Seop Chris$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299825103321 996 $aEvolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design$92527385 997 $aUNINA