Towards minimal addition-subtraction chains using genetic algorithms

  • Authors:
  • Nadia Nedjah;Luiza de Macedo Mourelle

  • Affiliations:
  • Department of Systems Engineering and Computation, Faculty of Engineering, State University of Rio de Janeiro, Rio de Janeiro, Brazil;Department of Systems Engineering and Computation, Faculty of Engineering, State University of Rio de Janeiro, Rio de Janeiro, Brazil

  • Venue:
  • Biocomputing
  • Year:
  • 2004

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Abstract

Addition and addition-subtraction chains consist of a sequence of integers that allow one to efficiently compute power TE, where T varies but E is constant. The shorter the addition (addition-subtraction) chain is, the more efficient the computation. Solving the optimisation problem that yields the shortest addition (addition-subtraction) is NP-hard. There exists some heuristics that attempt to obtain reduced addition (addition-subtraction) chain. We obtain better addition (addition-subtraction) chains than those yield by so far known heuristics using genetic algorithms. The addition (addition-subtraction) chains are nearly minimal.