Authors:
- Provides a detailed description of methodologies that combine game theoretical strategy with Evolutionary Algorithms
- Applications may be found in complex multi-physics optimization problems drawn from a wide variety of areas such as biomedical engineering, surface transport, energy, and green technologies
- Offers the reader several practical, “hands-on “ test problems together with descriptions of software and guidelines for capturing, presenting and discussing solutions
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems, Control and Automation: Science and Engineering (ISCA, volume 75)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
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.
Authors and Affiliations
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International Center for Numerical Methods, Barcelona, Spain
Jacques Periaux
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Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia
Felipe Gonzalez
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DMC R&D Center, Samsung Electronics, Suwon, Korea, Republic of (South Korea)
Dong Seop Chris Lee
Bibliographic Information
Book Title: Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design
Book Subtitle: Applications to Aeronautics and UAV Design
Authors: Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee
Series Title: Intelligent Systems, Control and Automation: Science and Engineering
DOI: https://doi.org/10.1007/978-94-017-9520-3
Publisher: Springer Dordrecht
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media B.V. 2015
Hardcover ISBN: 978-94-017-9519-7Published: 27 April 2015
Softcover ISBN: 978-94-017-7698-1Published: 13 October 2016
eBook ISBN: 978-94-017-9520-3Published: 13 April 2015
Series ISSN: 2213-8986
Series E-ISSN: 2213-8994
Edition Number: 1
Number of Pages: XXI, 305
Number of Illustrations: 198 b/w illustrations, 48 illustrations in colour
Topics: Engineering Design, Optimization, Automotive Engineering, Economic Theory/Quantitative Economics/Mathematical Methods, Game Theory, Economics, Social and Behav. Sciences