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Evolutionary Optimization System (EOS) For Design Automation

  • Conference paper
IUTAM Symposium on Evolutionary Methods in Mechanics

Part of the book series: Solid Mechanics and Its Applications ((SMIA,volume 117))

Abstract

In the paper the software package called Evolutionary Optimization System (EOS) is presented. This package contains several single and multicriteria optimization methods based on evolutionary algorithms. EOS is coded in the ANSI C language and it is a user-friendly computer program with the window structure. The system can be used to solve some design automation problems. In the paper the spring design automation problems are discussed and these problems show clearly that using EOS we can obtain automatically the optimum design of the springs giving only the basic data.

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References

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Author information

Authors and Affiliations

  1. Department of Management, AGH University of Science and Technology, Gramatyka Str. 10, 30-067, Cracow, Poland

    Andrzej Osyczka

  2. Department of Mechanical Engineering, Cracow University of Technology, 31-864, Krakow, Al. Jana Pawla II 37, Poland

    Stanisław Krenich, Joanna Krzystek & Jacek Habel

Authors
  1. Andrzej Osyczka
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  2. Stanisław Krenich
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  3. Joanna Krzystek
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  4. Jacek Habel
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Editor information

Editors and Affiliations

  1. Department for Strength of Materials, Silesian University of Technology, Gliwice, Poland

    Tadeusz Burczyński

  2. Institute of Computer Modelling, Cracow University of Technology, Cracow, Poland

    Tadeusz Burczyński

  3. Department of Applied Computer Science, Faculty of Management, AGH University of Science and Technology, Cracow, Poland

    Andrzej Osyczka

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© 2004 Kluwer Academic Publishers

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Osyczka, A., Krenich, S., Krzystek, J., Habel, J. (2004). Evolutionary Optimization System (EOS) For Design Automation. In: Burczyński, T., Osyczka, A. (eds) IUTAM Symposium on Evolutionary Methods in Mechanics. Solid Mechanics and Its Applications, vol 117. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2267-0_29

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  • DOI: https://doi.org/10.1007/1-4020-2267-0_29

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-2266-1

  • Online ISBN: 978-1-4020-2267-8

  • eBook Packages: Springer Book Archive

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