Evolutionary optimization and game strategies for advanced multi-disciplinary design : applications to aeronautics and UAV design
Data(s) |
2015
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Resumo |
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. |
Identificador | |
Publicador |
Springer Netherlands |
Relação |
http://link.springer.com/book/10.1007%2F978-94-017-9520-3 DOI:10.1007/978-94-017-9520-3 Periaux, Jacques, Gonzalez, Felipe, & Lee, Dong Seop Chris (2015) Evolutionary optimization and game strategies for advanced multi-disciplinary design : applications to aeronautics and UAV design. Intelligent Systems, Control and Automation : Science and Engineering, 75. Springer Netherlands, Houten, Netherlands. |
Fonte |
Australian Research Centre for Aerospace Automation; School of Electrical Engineering & Computer Science; Institute for Future Environments; Science & Engineering Faculty |
Palavras-Chave | #090000 ENGINEERING #090100 AEROSPACE ENGINEERING #090600 ELECTRICAL AND ELECTRONIC ENGINEERING #UAVs #Engineering Optimization #Game Theory #Multidisciplinary Design #Parallel Evolutionary Algorithms |
Tipo |
Book |