IUTAM Symposium on Evolutionary Methods in Mechanics
Published on 30. June 2004
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Other digital
978-1-4020-2267-8 (ISBN)
Description
This book contains papers presented at the IUTAM Symposium on Evolutionary Methods in Mechanics held in Cracow, Poland, September 24-27, 2002. Recently, Evolutionary algorithms and methods have become the most effective tools for solving specific kinds of problems in mechanics, especially in structural and multidisciplinary optimization. The book is 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 Special emphasis is put 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 and exploited to provide efficient tools for solving a variety of optimization problems in mechanics.
Several important topics are presented: evolutionary methods in shape and topology optimization, evolutionary methods in size and material optimization, evolutionary methods in multiobjective optimization, in inverse problems of engineering mechanics, in biomechanics, coupling of evolutionary methods and neural networks in mechanics, methods of artificial intelligence in mechanics based on evolutionary approaches and other unconventional applications in mechanics. Research workers, specialists and professionals who deal with methods of artificial intelligence, especially in the field of evolutionary computation, structural and multidisciplinary optimization would be interested in this book.
Several important topics are presented: evolutionary methods in shape and topology optimization, evolutionary methods in size and material optimization, evolutionary methods in multiobjective optimization, in inverse problems of engineering mechanics, in biomechanics, coupling of evolutionary methods and neural networks in mechanics, methods of artificial intelligence in mechanics based on evolutionary approaches and other unconventional applications in mechanics. Research workers, specialists and professionals who deal with methods of artificial intelligence, especially in the field of evolutionary computation, structural and multidisciplinary optimization would be interested in this book.
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Language
English
Place of publication
New York, NY
United States
Target group
Professional and scholarly
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Illustrations
ISBN-13
978-1-4020-2267-8 (9781402022678)
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Schweitzer Classification
Content
Preface. Committee and Sponsors. Evolutionary computation in crack problems; W. Beluch. Investigation of evolutionary algorithm effectiveness in optimal synthesis of certain mechanisms; K. Bia as-Hetltowski, et al. Minimum heat losses subjected to stiffness constraints: window frame optimization; R.A. Bia ecki, M. Krol. Evolutionary computation in inverse problems; T. Burczy ski, et al. Hang-glider wing design by genetic optimization; S. D'Angelo, et al. An error function for optimum dimension synthesis of mechanisms using genetic algorithms; I.F. de Bustos, et al. Evolutionary computation in thermoelastic problems; A. D ugosz. Management of evolutionary MAS for multiobjective optimisation; G. Dobrowalski, M. Kisiel-Dorohinicki. PAMUC: a new method to handle with constraints and multiobjectivity in evolutionary algorithms; R. Filomeno Coelho, et al. A comparative analysis of "controlled elitism" in the NGSA-II applied to frame optimization; D. Greiner, et al. IS-PAES: multiobjective optimization with efficient constraint handling; A. Hernandez Aguirre, et al. Optimization of aligned fiber laminate composites; Z. Hu, et al. Genetic algorithm for damage assessment; V.T. Johnson, et al. Estimation of parameters for a hydrodynamic transmission system mathematical model with the application of genetic algorithm; A. Kesy, et al. Study of safety of high-rise buildings using evolutionary search; S. Khajhpour, D.E. Grierson. Structural design using genetic algorithm; E. Kita, et al. The topology optimization using evolutionary search; G. Kokot, P. Orantek. Identification of CMM parametric errors by hierarchical genetic strategy; J. Ko odziej, et al. Genetic algorithm for fatigue crack detection in Timoshenko beam; M. Krawczuk, et al. Multicriteria design optimization of robot gripper mechanisms; S. Krenich. Optimal design of multiple clutch brakes using a multistage evolutionary method; S. Krenich, A. Osyczka. Distributed evolutionary algorithms in optimization of nonlinear solids; W. Kus, T. Burczy ski. Adaptive penalty strategies in genetic search for problems with inequality and equality constraints; C.-Y. Lin, W.-H. Wu. On the identification of linear elastic mechanical behaviour of orthopedic materials using evolutionary algorithms; M. Magalhaes Dourado, et al. Ranking pareto optimal solutions in genetic algorithm by using undifferentiation interval method; J. Montusiewicz. The effectiveness of probabilistic algorithms in shape and topology discrete optimisation of 2-D composite structures; A. Muc. Genetic algorithms in optimisation of resin hardening technological processes; A. Muc, P. Saj. Hybrid evolutionary algorithms in optimization of structures under dynamical loads; P. Orantek. Evolutionary optimization system (EOS) for design automation; O. Osyczka, et al. Evolutionary method for a universal motor geometry optimization; G. Papa, B. Korou i -Seljak. A review of the development and application of cluster oriented genetic algorithms; I.C. Parmee. Genetic algorithm optimization of hole shapes in a perforated elastic plate over a range of loads; S. Vigdergauz. An object oriented library for evolutionary programs with applications in partitioning of finite element meshes; J. ola, et al.