• DocumentCode
    907316
  • Title

    Symbolic method for simplifying AND-EXOR representations of Boolean functions using a binary-decision technique and a genetic algorithm

  • Author

    Thomson, P. ; Miller, J.F.

  • Author_Institution
    Dept. of Electr., Electron. & Comput. Eng., Napier Univ., UK
  • Volume
    143
  • Issue
    2
  • fYear
    1996
  • fDate
    3/1/1996 12:00:00 AM
  • Firstpage
    151
  • Lastpage
    155
  • Abstract
    An algorithm called XORGA is presented which minimises Boolean multi-output logic functions as multilevel AND-EXOR networks of two-input logic gates. It carries out symbolic simplification, and works from the bottom of a binary variable decision tree to the top, with variable choice determined using a genetic algorithm. Since the algorithm is multilevel in nature, it delivers more compact circuits than two-level ESOP minimisation algorithms, such as EXMIN2. It also finds more economical representations than the fixed polarity Reed-Muller method
  • Keywords
    Boolean functions; genetic algorithms; logic design; minimisation of switching nets; AND-EXOR representations; Boolean functions; EXMIN2; XORGA algorithm; binary-decision technique; decision tree; genetic algorithm; symbolic method; two-input logic gates; two-level ESOP minimisation algorithms;
  • fLanguage
    English
  • Journal_Title
    Computers and Digital Techniques, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2387
  • Type

    jour

  • DOI
    10.1049/ip-cdt:19960196
  • Filename
    495950