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Adaptive Monte Carlo Method for Solving Constrained Minimization Problem in Integer Non-Linear Programming

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Optimization Techniques IFIP Technical Conference

Part of the book series: Lecture Notes in Computer Science ((LNCIS))

Abstract

We consider the non-linear integer programming where the objective function is non-linear, but the constraint is linear.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Okayama College of Science, Okayama 700, Japan

    Minoru Ichimura

  2. Department of Mathematics, Okayama Univeristy, Okayama 700, Japan

    Kazumasa Wakimoto

Authors
  1. Minoru Ichimura
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  2. Kazumasa Wakimoto
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Editor information

Editors and Affiliations

  1. Computer Center, 630090, Novosibirsk, USSR

    G. I. Marchuk

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© 1975 Springer-Verlag Berlin Heidelberg

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Ichimura, M., Wakimoto, K. (1975). Adaptive Monte Carlo Method for Solving Constrained Minimization Problem in Integer Non-Linear Programming. In: Marchuk, G.I. (eds) Optimization Techniques IFIP Technical Conference. Lecture Notes in Computer Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-38527-2_46

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  • DOI: https://doi.org/10.1007/978-3-662-38527-2_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-37713-0

  • Online ISBN: 978-3-662-38527-2

  • eBook Packages: Springer Book Archive

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