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Neuro-Optimizer, Its Application to Discrete Structural Optimization

  • Mitsuo Kishi
  • Toshiyuki Kodera
  • Yoshiyuki Iwao
  • Ryusuke Hosoda
Conference paper
Part of the International Union of Theoretical and Applied Mechanics book series (IUTAM)

Abstract

Some discrete optimization problems can be programmed and solved on artificial neural networks. The NEURO-OPTIMIZER attains good (not necessarily optimal) solutions for general nonlinear discrete optimization problems through neurons state transitions. The simulated annealing method is introduced to escape from local minima. In this paper the number representation of the discrete variable by using neurons is investigated, and a mapping technique is proposed for irregularly discrete variables.

Keywords

discrete optimization neural network structural optimization number representation 

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Copyright information

© Springer-Verlag, Berlin Heidelberg 1994

Authors and Affiliations

  • Mitsuo Kishi
    • 1
  • Toshiyuki Kodera
    • 1
  • Yoshiyuki Iwao
    • 1
  • Ryusuke Hosoda
    • 1
  1. 1.Department of Marine System Engineering, College of EngineeringUniversity of Osaka PrefectureSakai, Osaka 593Japan

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