IUTAM Symposium on Evolutionary Methods in Mechanics

Transcription

1 IUTAM Symposium on Evolutionary Methods in Mechanics

2 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?, and How 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 monographs defining the current state of the field; others are accessible to final year undergraduates; but essentially the emphasis is on readability and clarity. For a list of related mechanics titles, see final pages.

3 IUTAM Symposium on Evolutionary Methods in Mechanics Proceedings of the IUTAM Symposium held in Cracow, Poland, September, 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

4 ebook ISBN: Print ISBN: Springer Science + Business Media, Inc. Print 2004 Kluwer Academic Publishers Dordrecht All rights reserved No part of this ebook may be reproduced or transmitted in any form or by any means, electronic, mechanical, recording, or otherwise, without written consent from the Publisher Created in the United States of America Visit Springer's ebookstore at: and the Springer Global Website Online at:

5 Contents Preface Committees and Sponsors ix xi Evolutionary computation in crack problems 1 W. Beluch Investigation of evolutionary algorithm effectiveness in optimal synthesis of certain mechanism 13 K. Bia las-heltowski, T. Klekiel and R. Rohatyński Minimum heat losses subjected to stiffness constraints: window frame optimization 23 R. A. Bia lecki and M. Król Evolutionary computation in inverse problems 33 T. Burczyński, E. Majchrzak, W. Kuś, P. Orantek, M. Dziewoński 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 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

6 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. Galván IS-PAES: multiobjective optimization with efficient constraint handling 111 A. Hernández Aguirre, S. Botello Rionda and G. Lizárraga Lizárraga 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. Ko lodziej, 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. Kuś, T. Burczyński

7 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. Koroušić-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. Żola, L. Laciński and R. Wyrzykowski

8 Preface The IUTAM Symposium on Evolutionary Methods in Mechanics was held in Cracow, Poland, September 24-27, The site of the Symposium was Cracow University of Technology. The Symposium was attended 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 mechanics, computer sciences and artificial intelligence to interact and exchange their points of view on the advanced computational and application aspects of the evolutionary methods in analysis and design of mechanical systems. Recently evolutionary methods have become the most effective tools for solving specific kinds of problems in mechanics, especially in structural and multidisciplinary optimization. The meeting was devoted to both theoretical and practical developments of computational mechanics methods drawing their inspiration from nature with particular emphasis on evolutionary models of computation such as genetic algorithms, evolutionary strategies, classifier systems, evolutionary programming and other evolutionary computation techniques in mechanics. The objective of the Symposium was to provide an international forum for facilitating the exchange of information among researchers involved in computational intelligence methods based on evolutionary nature. The Symposium put special emphasis on evolutionary optimization in various fields of mechanics. The subject of evolutionary optimization has recently experienced a remarkable growth. New concepts, approaches and applications are being continually developed and exploited to provide efficient 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

9 x Evolutionary methods in inverse problems of engineering mechanics, Evolutionary methods in biomechanics, Coupling of evolutionary methods and neural networks in mechanics, Methods of artificial intelligence in mechanics based on evolutionary approaches, Other unconventional applications in mechanics. The lectures and discussions about them clearly showed the remarkable progress in applications of evolutionary methods in mechanics. The volume contains 33 papers. Much to regret of the Scientific Committee some manuscripts were not submitted. All papers contained herein have been reviewed to the standard of leading scientific journals. The Editors would like to acknowledge the great efforts on behalf of both the authors and reviewers. The Editors particularly wish to thank the Bureau of the International Union of Theoretical and Applied Mechanics (IUTAM), the International Society of Structural and Multidisciplinary Optimization (ISSMO) and the Internal Scientific Committee. Part of success of the Symposium was a consequence of the excellent facilities provided by the Cracow University of Technology. The smooth running of the Symposium owes much to the initiative and the organizational skills of B.Ulejczyk, M.Dziewoński, J.Habel, A.Karafiat, S.Krenich, W.Kulig, W.Kuś, P.Orantek and A.Sobos. Finally, Editors would like to express their gratitude to the sponsoring organizations who have supported the Symposium financially, namely the IUTAM, the ISSMO, the Committee of Mechanics of Polish Academy of Sciences, the Polish Association for Computational Mechanics, Cracow University of Technology and Silesian University of Technology. Cracow/Gliwice, February 2004 Tadeusz Burczyński Andrzej Osyczka Editors

10 Comittees and Sponsors International Scientific Committee T. Burczyński, Co-Chairman (Poland) A. Osyczka, Co-Chairman (Poland) K. Deb (India) J.Engelbrecht (Estonia) D.E.Grierson (Canada) R.Haftka (USA) P. Hajela (USA) S. Kundu (Japan) I.C. Parmee (UK) Sponsors International Union of Theoretical and Applied Mechanics (IUTAM) International Society of Structural and Multidisciplinary Optimization (ISSMO) Polish Association for Computational Mechanics (PACM) Committee of Mechanics of Polish Academy of Sciences Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, Gliwice, Poland Institute of Computer Modelling, Artificial Intelligence Division Institute of Production Engineering, Cracow University of Technology, Cracow, Poland xi