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Advances of Soft Computing in Engineering

  • Zenon Waszczyszyn

Part of the CISM International Centre for Mechanical Sciences book series (CISM, volume 512)

Table of contents

  1. Front Matter
    Pages i-vii
  2. John Miles
    Pages 1-56
  3. V. V. Toropov, L. F. Alvarez, O. M. Querin
    Pages 133-189
  4. Zenon Waszczyszyn, Marek Słoński
    Pages 237-316
  5. Manolis Papadrakakis, Nikos D. Lagaros, Michalis Fragiadakis
    Pages 317-336

About this book

Introduction

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.

Keywords

design evolution evolutionary algorithm genetic algorithms genetic programming neural network neural networks soft computing

Editors and affiliations

  • Zenon Waszczyszyn
    • 1
  1. 1.Rzeszow and Cracow Universities of TechnologyPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-211-99768-0
  • Copyright Information Springer-Verlag Vienna 2010
  • Publisher Name Springer, Vienna
  • eBook Packages Engineering
  • Print ISBN 978-3-211-99767-3
  • Online ISBN 978-3-211-99768-0
  • Series Print ISSN 0254-1971
  • Buy this book on publisher's site
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