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Advances of Soft Computing in Engineering (CISM International Centre for Mechanical Sciences, 512)

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The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft methods and the finite element method. Numerical efficiency of these soft methods is illustrated on the analysis and design of complex engineering structures.

Author(s): Zenon Waszczyszyn
Edition: 1
Year: 2009

Language: English
Pages: 334

3211997679......Page 1
ADVANCES OF SOFT COMPUTING
IN ENGINEERING......Page 4
PREFACE......Page 6
CONTENTS......Page 7
front-matter......Page 2
CHAPTER 1
Genetic algorithms for design......Page 8
CHAPTER 2
Evolutionary and immune computations in optimal design and
inverse problems......Page 64
CHAPTER 3
Applications of GA and GP to industrial optimization problems
and inverse problems......Page 140
CHAPTER 4
Advances in neural networks in computational mechanics and
engineering......Page 197
CHAPTER 5
Selected problems of artificial neural networks development......Page 243
CHAPTER 6
Neural networks: some successful applications in computational
mechanics......Page 323