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Minimal Addition-Subtraction Chains with Ant Colony

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Neural Information Processing (ICONIP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3316))

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Abstract

Addition-subtraction chains (AS-chains) consist of a sequence of integers that allow one to efficiently compute power T E, where T varies but E is constant. The shorter the AS-chain is, the more efficient the computation. Solving the minimisation problem that yields the shortest addition-subtraction is NP-hard. There exists some heuristics that attempt to obtain reduced AS-chains. In this paper, we compute minimal addition- subtraction chains using the ant-colony methodology.

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Author information

Authors and Affiliations

  1. Department of Systems Engineering and Computation, Faculty of Engineering, State University of Rio de Janeiro, Brazil

    Nadia Nedjah & Luiza de Macedo Mourelle

Authors
  1. Nadia Nedjah
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  2. Luiza de Macedo Mourelle
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Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Electronics and Communication Sciences Unit, Kolkata, India

    Nikhil Ranjan Pal

  2. School of Computer and Information Sciences, Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, Private Bag 92006, Auckland, New Zealand

    Nik Kasabov

  3. Department of Instrumentation and Electronics Engineering, Jadavpur University, Salt-lake Campus, 700098, Calcutta, India

    Rajani K. Mudi

  4. Indian Statistical Institute, 203 B. T. Road, 700 108, Calcutta,  

    Srimanta Pal

  5. Indian Statistical Institute, Computer Vision and Pattern Recognition Unit, 700108, Kolkata, India

    Swapan Kumar Parui

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© 2004 Springer-Verlag Berlin Heidelberg

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Nedjah, N., de Macedo Mourelle, L. (2004). Minimal Addition-Subtraction Chains with Ant Colony. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_168

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  • DOI: https://doi.org/10.1007/978-3-540-30499-9_168

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23931-4

  • Online ISBN: 978-3-540-30499-9

  • eBook Packages: Springer Book Archive

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