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  • © 2010

Advances of Soft Computing in Engineering

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

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-vii
  2. Genetic Algorithms for Design

    • John Miles
    Pages 1-56
  3. Applications of GA and GP to Industrial Design Optimization and Inverse Problems

    • V. V. Toropov, L. F. Alvarez, O. M. Querin
    Pages 133-189
  4. Selected Problems of Artificial Neural Networks Development

    • Zenon Waszczyszyn, Marek SÅ‚oÅ„ski
    Pages 237-316
  5. Neural Networks: Some Successful Applications in Computational Mechanics

    • Manolis Papadrakakis, Nikos D. Lagaros, Michalis Fragiadakis
    Pages 317-336

About this book

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.

Editors and Affiliations

  • Rzeszow and Cracow Universities of Technology, Poland

    Zenon Waszczyszyn

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access