Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design: Applications to Aeronautics and UAV Design

323 Pages·2015·28 MB·English

by  Jacques Periaux

Intelligent Systems, Control and Automation:
Science and Engineering
Volume 75
Series editor
Professor S.G. Tzafestas, National Technical University of Athens, Greece
Editorial Advisory Board
P. Antsaklis, University of Notre Dame, IN, USA
P. Borne, Ecole Centrale de Lille, France
R. Carelli, Universidad Nacional de San Juan, Argentina
T. Fukuda, Nagoya University, Japan
N.R.Gans, The University of Texas at Dallas, Richardson, TX, USA
F. Harashima, University of Tokyo, Japan
P. Martinet, Ecole Centrale de Nantes, France
S. Monaco, University La Sapienza, Rome, Italy
R.R. Negenborn Delft University of Technology, The Netherlands
A.M. Pascoal, Institute for Systems and Robotics, Lisbon, Portugal
G. Schmidt, Technical University of Munich, Germany
T.M.Sobh, University of Bridgeport, CT, USA
C. Tzafestas, National Technical University of Athens, Greece
K. Valavanis, University of Denver, Colorado, USA
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Photographer: Markku Pirttimaa
Jacques Periaux • Felipe Gonzalez
Dong Seop Chris Lee
Evolutionary Optimization
and Game Strategies for
Advanced Multi-Disciplinary
Design
Applications to Aeronautics and UAV Design
1 3
Jacques Periaux Dong Seop Chris Lee
International Center DMC R&D Center
for Numerical Methods Samsung Electronics
Barcelona Suwon
Spain Kyonggi-do
Korea, Republic of (South Korea)
Felipe Gonzalez
Science and Engineering Faculty
Queensland University of Technology
Brisbane
Queensland
Australia
ISSN 2213-8986 ISSN 2213-8994 (electronic)
Intelligent Systems, Control and Automation: Science and Engineering
ISBN 978-94-017-9519-7 ISBN 978-94-017-9520-3 (eBook)
DOI 10.1007/978-94-017-9520-3
Library of Congress Control Number: 2014956391
Springer Dordrecht Heidelberg New York London
© Springer Science+Business Media B.V. 2015
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“This book is dedicated to my son KiYoung
Alexander Lee and my daughter JungBin
Elisha Lee. Also to my parents SangJin Lee
and YoungBok Kim whom I cannot thank
enough for all the support and love you have
given me.”
To my beloved late wife Chantal, and our
uniquely talented and accomplished children
Sébastien, Daphne, Virgile and Bergame,
Jacques Periaux
This book is dedicated to my wife and
parents for their kindness and devotion.
Also to Ashleigh, Chloe, Leo and Louie.
Felipe Gonzalez
“This book is dedicated to my wife Sun-
Hee Lee, our son KiYoung Alexander Lee
and our daughter JungBin Elisha Lee who
are my inspiration in everything I do and
every choice I make, and also to my parents
SangJin Lee and Young Bok Kim who always
supported me in every endeavour.”
Dong Seop Chris LEE
Foreword
Ignorance more frequently begets confidence than does knowledge: it is those who know
little, and not those who know much, who so positively assert that this or that problem will
never be solved by science.
–Charles Darwin
The German physicist Max Plank hypothesized that important scientific innova-
tions become accepted because their opponents gradually die out, not because they
gradually win over opponents. Evolutionary algorithms certainly had no shortage
of opponents in the optimization community when they were first introduced in the
early 1990s. We now see that Evolutionary algorithms are a maturing technology
well beyond the bleeding edge and in the realm of the practitioner.Evolutionary al-
gorithms for multi-disciplinary design optimization have been successfully applied
in a variety of areas that include: industrial design by parameterization, network
design by construction, scheduling, routing, database mining, control systems, time
series prediction, artificial intelligence, molecular design and artificial life systems.
The current wide- spread use of Evolutionary Algorithms is not a consequence of a
high rate of mortality in the optimization community as Dr. Planck would suggest
but a result of the dramatic increase in computational capacity and Information
Technology implementation. This capacity has transformed what formerly was an
interesting theoretical construct into a useful (engineering design) tool.
The issue at hand is not theoretical and conceptual development of Evolution-
ary Algorithms but developing the expertise for their implementation.The present
volume by Felipe Gonzalez, Dong Seop Chris Lee, and Jacques Periaux is dedi-
cated to the development of this expertise. It describes the role that evolution based
tools play with game theoretic strategy in the solution or set of solutions as well as
multi-disciplinary optimization in a variety of applications. Although the applica-
tions focus on aerospace, the methods translate to other fields including surface
and marine transport, UAV systems, biomedical engineering, financial engineer-
ing, communications, and artificial intelligence. This volume is directed towards
entry level scientists, engineers, and technologists in industry and governmental
agencies as well in the academy. Optimization is a contact, not a spectator, sport.
Several aeronautical applications with increasing complexity are presented. These
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viii Foreword
are accompanied by a series of “hands- on” test problems are which are proposed
as exercises to the reader.
November, 2013 William Fitzgibbon
College of Technology, University of Houston
Houston, USA
Foreword
The present volume has three authors, the only one I know personally being Jacques
Périaux. For me, Jacques Périaux is many persons in one: a former student, a per-
sonal friend, the co-author of many articles, and has been for many years the inspi-
ration of many of my own investigations.
Jacques Périaux is a most remarkable individual and scientist: during a long
and remarkable career in Aeronautics and Aerospace industry in France at Dassault
Aviation, Jacques Périaux has been actively involved in designing airplanes, and
in closing the gap between Academia and Industry, firmly believing that engineers
can learn from academics, and conversely. A constant attitude of Jacques Périaux
has been to look at new methods developed in universities and research centers, in
France and abroad, for their potential applicability to problems from Industry, quite
often suggesting new problems to look at, and ideas to investigate. To give evidence
of J. Périaux’s vision related to this book, let us mention the fact that, almost twenty
years ago, he anticipated the power of evolution algorithms for the solution of those
multi-objective and multi-physics design problems occurring in Aeronautics and
Aerospace.
Jacques’ initiative in that direction met with some scepticism from a number of
well-known members of the Computational Mechanics community, but time has
proved that his vision was right. The good news is that Jacques Periaux has decided,
with the help of two young collaborators, Felipe Gonzalez and Dong Seop Chris
Lee, to publish a book (this one) about evolution algorithms, such as the genetic
ones, multi-objective optimization, game theory, and more, about the solution of
design problems from Aeronautics. The reader will find herein a wealth of methods,
examples, convergence studies, and recipes. One of the main values of this book is
that practitioners from areas other than Aeronautics will have no difficulty in adapt-
ing and implementing the various methods discussed here to the solutions of their
specific problems. This book is not easy to read, deep thought being inherent to the
topics it addresses, but its reading is facilitated by its excellent structure and the
large number of very interesting real-life examples it considers. Those motivated
ix
x Foreword
by sufficient drive will learn a lot about a unique combination of methodologies
applied in a growing number of areas of Science and Engineering.
June, 2013 Roland Glowinski
French National Academy of Technology
Jyväskylä
Finland