IUTAM Symposium on Evolutionary Methods in Mechanics (Solid Mechanics and Its Applications)

379 Pages·2004·6.92 MB·English

by  Tadeusz Burczynski

IUTAM Symposium on Evolutionary Methods in Mechanics
SOLID MECHANICS AND ITS APPLICATIONS
Volume 117
Series Editor: G.M.L. GLADWELL
Department of Civil Engineering
University of Waterloo
Waterloo, Ontario, Canada N2L 3GI
Aims and Scope of the Series
The fundamental questions arising in mechanics are: Why?, How?, andHow much?
The aim of this series is to provide lucid accounts written by authoritative researchers
giving vision and insight in answering these questions on the subject of mechanics as it
relates to solids.
The scope of the series covers the entire spectrum of solid mechanics. Thus it includes
the foundation of mechanics; variational formulations; computational mechanics;
statics, kinematics and dynamics of rigid and elastic bodies: vibrations of solids and
structures; dynamical systems and chaos; the theories of elasticity, plasticity and
viscoelasticity; composite materials; rods, beams, shells and membranes; structural
control and stability; soils, rocks and geomechanics; fracture; tribology; experimental
mechanics; biomechanics and machine design.
The median level of presentation is the first year graduate student. Some texts are mono-
graphs defining the current state of the field; others are accessible to final year under-
graduates; but essentially the emphasis is on readability and clarity.
For a list of related mechanics titles, see final pages.
IUTAM Symposium on
Evolutionary Methods in
Mechanics
Proceedings of the IUTAM Symposium held in
Cracow, Poland, 24–27 September, 2002.
Edited by
TADEUSZ BURCZYŃSKI
Department for Strength of Materials,
Silesian University of Technology, Gliwice, Poland
and
Institute of Computer Modelling,
Cracow University of Technology, Cracow, Poland
and
ANDRZEJ OSYCZKA
Department of Applied Computer Science,
Faculty of Management,
AGH University of Science and Technology,
Cracow, Poland
KLUWER ACADEMIC PUBLISHERS
NEW YORK,BOSTON, DORDRECHT, LONDON, MOSCOW
eBookISBN: 1-4020-2267-0
Print ISBN: 1-4020-2266-2
©2004 Springer Science + Business Media, Inc.
Print ©2004 Kluwer Academic Publishers
Dordrecht
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Contents
Preface ix
Committees and Sponsors xi
Evolutionary computation in crack problems 1
W. Beluch
Investigation of evolutionary algorithm effectiveness
in optimal synthesis of certain mechanism 13
K. Bial(cid:1)as-Heltowski, T. Klekiel and R. Rohatyn´ski
Minimum heat losses subjected to stiffness constraints:
window frame optimization 23
R. A. Bia(cid:1)lecki and M. Kro´l
Evolutionary computation in inverse problems 33
T. Burczyn´ski, E. Majchrzak, W. Ku´s, P. Orantek, M. Dziewon´ski
Hang-glider wing design by genetic optimization 47
S. D’Angelo, M. Fantetti and E. Minisci
An error function for optimum dimensional synthesis
of mechanisms using genetic algorithms 59
I. F. de Bustos, J. Aguirrebeitia, V. Gomez-Garay and R. Aviles
Evolutionary computation in thermoelastic problems 69
A. D(cid:1)lugosz
Management of evolutionary MAS for multiobjective optimisation 81
G. Dobrowolski, M. Kisiel-Dorohinicki
PAMUC : a new method to handle with constraints
and multiobjectivity in evolutionary algorithms 91
R. Filomeno Coelho, PH. Bouillard and H. Bersini
v
vi
A comparative analysis of ”controlled elitism”
in the NSGA-II applied to frame optimization 101
D. Greiner, G. Winter, J.M. Emperador and B. Galva´n
IS-PAES: multiobjective optimization with efficient constraint handling 111
A. Hern´andez Aguirre, S. Botello Rionda and G. Liza´rraga Liz´arraga
Optimization of aligned fiber laminate composites 121
Z. Hu, G. M. Genin, M. J. Jakiela and A. M. Rubin
Genetic algorithm for damage assessment 131
V.T. Johnson, S. Anantha Ramu (Late) and B.K. Raghu Prasad
Estimation of parameters for a hydrodynamic transmission
system mathematical model with the application of genetic algorithm 143
A. Kesy, Z. Kesy and A. Kadziela
Study of safety of high-rise buildings using evolutionary search 153
S. Khajehpour and D. E. Grierson
Structural design using genetic algorithm 163
E. Kita, T. Tamaki and H. Tanie
The topology optimization using evolutionary algorithms 173
G. Kokot and P. Orantek
Identification of the CMM parametric errors
by hierarchical genetic strategy 187
J. Kol(cid:1)odziej, W. Jakubiec, M. Starczak and R. Schaefer
Genetic algorithm for fatigue crack detection in Timoshenko beam 197
M. Krawczuk, M. Palacz and W. Ostachowicz
Multicriteria design optimization of robot gripper mechanisms 207
S. Krenich
Optimal design of multiple clutch brakes
using a multistage evolutionary method 219
S. Krenich and A. Osyczka
Distributed evolutionary algorithms in optimization of nonlinear solids 229
W. Ku´s, T. Burczyn´ski
Contents vii
Adaptive penalty strategies in genetic search
for problems with inequality and equality constraints 241
C.-Y. Lin and W.-H. Wu
On the identification of linear elastic mechanical behaviour
of orthotropic materials using evolutionary algorithms 251
N. Magalhaes Dourado, J. Cardoso Xavier and J. Lopes Morais
Ranking pareto optimal solutions in genetic algorithm
by using the undifferentiation interval method 265
J. Montusiewicz
The effectiveness of probabilistic algorithms in shape and topology
discrete optimisation of 2-D composite structures 277
A. Muc
Genetic algorithms in optimisation of resin
hardening technological processes 287
A. Muc and P. Saj
Hybrid evolutionary algorithms in optimization
of structures under dynamical loads 297
P. Orantek
Evolutionary optimization system (EOS) for design automation 309
A. Osyczka, S. Krenich, J. Krzystek and J. Habel
Evolutionary method for a universal motor geometry optimization 321
G. Papa and B. Korouˇsi´c-Seljak
A review of the development and application
of cluster oriented genetic algorithms 331
I. C. Parmee
Genetic algorithm optimization of hole shapes
in a perforated elastic plate over a range of loads 341
S. Vigdergauz
An object oriented library for evolution programs
with applications for partitioning of finite element meshes 351
J. Z˙ola, L(cid:1) . L(cid:1) acin´ski and R. Wyrzykowski
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Preface
The IUTAM Symposium on Evolutionary Methods in Mechanics was
held in Cracow, Poland, September 24-27, 2002. The site of the Sym-
posium was Cracow University of Technology. The Symposium was at-
tended by 50 persons from 18 countries. In addition, several Polish
students, Ph. D. students and research associates participated in the
meeting.
The Symposium provided an excellent opportunity for scholars of me-
chanics, computer sciences and artificial intelligence to interact and ex-
change their points of view on the advanced computational and applica-
tion aspects of the evolutionary methods in analysis and design of me-
chanical systems. Recently evolutionary methods have become the most
effective tools for solving specific kinds of problems in mechanics, espe-
ciallyinstructuralandmultidisciplinaryoptimization. Themeetingwas
devotedtoboththeoreticalandpracticaldevelopmentsofcomputational
mechanics methods drawing their inspiration from nature with partic-
ular emphasis on evolutionary models of computation such as genetic
algorithms, evolutionary strategies, classifier systems, evolutionary pro-
gramming and other evolutionary computation techniquesin mechanics.
The objective of the Symposium was to provide an international forum
forfacilitatingtheexchangeofinformationamongresearchersinvolvedin
computational intelligence methods based on evolutionary nature. The
Symposium put special emphasis on evolutionary optimization in vari-
ousfieldsofmechanics. Thesubjectofevolutionaryoptimizationhasre-
cently experienced a remarkable growth. New concepts, approaches and
applicationsarebeingcontinuallydevelopedandexploitedtoprovideef-
ficient tools for solving a variety of optimization problems in mechanics.
The topics covered by the Symposium included:
Evolutionary methods in shape and topology optimization,
Evolutionary methods in size and material optimization,
Evolutionary methods in multicriteria optimization,
ix