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.
Author(s): Tadeusz Burczynski, Andrzej Osyczka
Edition: 1
Year: 2004
Language: English
Pages: 377
Preliminaries......Page 1
Contents......Page 6
Preface......Page 10
Committees and Sponsors......Page 12
Evolutionary computation in crack problems......Page 14
Investigation of evolutionary algorithm effectiveness......Page 26
Minimum heat losses subjected to stiffness constraints......Page 36
Evolutionary computation in inverse problems......Page 46
Hang-glider wing design by genetic optimization......Page 60
An error function for optimum dimensional synthesis......Page 72
Evolutionary computation in thermoelastic problems......Page 82
Management of evolutionary MAS for multiobjective optimisation......Page 94
PAMUC......Page 104
A comparative analysis of ”controlled elitism”......Page 114
IS-PAES: multiobjective optimization with efficient constraint handling......Page 124
Optimization of aligned fiber laminate composites......Page 134
Genetic algorithm for damage assessment......Page 144
Estimation of parameters for a hydrodynamic transmission system mathematical model with the application of genetic algorithm......Page 156
Study of safety of high-rise buildings using evolutionary search......Page 166
Structural design using genetic algorithm......Page 176
The topology optimization using evolutionary algorithms......Page 186
Identification of the CMM parametric errors by hierarchical genetic strategy......Page 200
Genetic algorithm for fatigue crack detection in Timoshenko beam......Page 210
Multicriteria design optimization of robot gripper mechanisms......Page 220
Optimal design of multiple clutch brakes using a multistage evolutionary method......Page 232
Distributed evolutionary algorithms in optimization of nonlinear solids......Page 242
Adaptive penalty strategies in genetic search for problems with inequality and equality constraints......Page 254
On the identification of linear elastic mechanical behaviour of orthotropic materials using evolutionary algorithms......Page 264
Ranking pareto optimal solutions in genetic algorithm by using the undifferentiation interval method......Page 278
The effectiveness of probabilistic algorithms in shape and topology discrete optimisation of 2-D composite structures......Page 290
Genetic algorithms in optimisation of resin......Page 300
Hybrid evolutionary algorithms in optimization......Page 310
Evolutionary optimization system (EOS) for design automation......Page 322
Evolutionary method for a universal motor geometry optimization......Page 334
A review of the development and application of cluster oriented genetic algorithms......Page 344
Genetic algorithm optimization of hole shapes in a perforated elastic plate over a range of loads......Page 354
An object oriented library for evolution programs with applications for partitioning of finite element meshes......Page 364
