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Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design

Applications to Aeronautics and UAV Design

  • Jacques Periaux
  • Felipe Gonzalez
  • Dong Seop Chris Lee

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee
    Pages 1-8
  3. Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee
    Pages 9-20
  4. Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee
    Pages 21-38
  5. Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee
    Pages 39-52
  6. Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee
    Pages 53-68
  7. Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee
    Pages 69-87
  8. Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee
    Pages 89-121
  9. Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee
    Pages 123-194
  10. Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee
    Pages 195-264
  11. Jacques Periaux, Felipe Gonzalez, Dong Seop Chris Lee
    Pages 265-284
  12. Back Matter
    Pages 285-305

About this book

Introduction

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.

Keywords

Distributed Evolutionary Optimization Engineering optimisation Evolutionary Algorithms Game strategies Multi-disciplinary Design/Robust Design

Authors and affiliations

  • Jacques Periaux
    • 1
  • Felipe Gonzalez
    • 2
  • Dong Seop Chris Lee
    • 3
  1. 1.International Center for Numerical MethodsBarcelonaSpain
  2. 2.Science and Engineering FacultyQueensland University of TechnologyBrisbaneAustralia
  3. 3.DMC R&D CenterSamsung ElectronicsSuwonKorea, Republic of (South Korea)

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-9520-3
  • Copyright Information Springer Science+Business Media B.V. 2015
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering
  • Print ISBN 978-94-017-9519-7
  • Online ISBN 978-94-017-9520-3
  • Series Print ISSN 2213-8986
  • Series Online ISSN 2213-8994
  • Buy this book on publisher's site