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Dynamical Random Neural Network Approach to a Problem of Optimal Resource Allocation

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Computational Intelligence and Bioinspired Systems (IWANN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3512))

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Abstract

Dynamical Random Neural Network (DRNN) has been suggested as tools for the solution of optimization problems [1, 2]. Here DRNN method is applied to solve the problem of optimal resource allocation with both minimum and maximum activation levels and fixed cost. The problem is NP-hard. The conclusion shows that the DRNN method provides results of the optimal resource allocation problem better than those given by [3].

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References

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Author information

Authors and Affiliations

  1. School of Business Administration, South China University of Technology, 510640, Guangzhou, China

    YongJun Zhong

  2. The Zhuhai College of Jinan University, 519070, Zhuhai, China

    DonChuan Sun

  3. The Department of Computer Science, Hexi University, 734000, Zhangye, China

    JianJun Wu

Authors
  1. YongJun Zhong
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  2. DonChuan Sun
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  3. JianJun Wu
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Editor information

Editors and Affiliations

  1. Departamento de Ingeniería Electrónica, Universitat Politècnica de Catalunya (UPC). E.T.S.I. de Telecomunicación, Campus Norte, Edificio C4, C/ Jordi Girona, 1-3, E08034, Barcelona, Spain

    Joan Cabestany

  2. Department of Computer Architecture and Computer Technology, University of Granada,  

    Alberto Prieto

  3. Grupo ISIS, Dpto. Tecnología Electrónica ETSI Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain

    Francisco Sandoval

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhong, Y., Sun, D., Wu, J. (2005). Dynamical Random Neural Network Approach to a Problem of Optimal Resource Allocation. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_142

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  • DOI: https://doi.org/10.1007/11494669_142

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26208-4

  • Online ISBN: 978-3-540-32106-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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