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Modified Filled Function Method for Resolving Nonlinear Integer Programming Problem

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Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques (ICIC 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 15))

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Abstract

Filled function method is an approach to find the global minimum of nonlinear functions. Many Problems, such as computing, communication control, and management, in real applications naturally result in global optimization formulations in a form of nonlinear global integer programming. This paper gives a modified filled function method to solve the nonlinear global integer programming problem. The properties of the proposed modified filled function are also discussed in this paper. The results of preliminary numerical experiments are also reported.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Henan University of Science and Technology, Luoyang, 471003, China

    Yong Liu

  2. Department of Mathematics, Henan University of Science and Technology, Luoyang, 471003, China

    You-lin Shang

Authors
  1. Yong Liu
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  2. You-lin Shang
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Editor information

De-Shuang Huang Donald C. Wunsch II Daniel S. Levine Kang-Hyun Jo

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© 2008 Springer-Verlag Berlin Heidelberg

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Liu, Y., Shang, Yl. (2008). Modified Filled Function Method for Resolving Nonlinear Integer Programming Problem. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2008. Communications in Computer and Information Science, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85930-7_70

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  • DOI: https://doi.org/10.1007/978-3-540-85930-7_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85929-1

  • Online ISBN: 978-3-540-85930-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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