• DocumentCode
    1268574
  • Title

    Searching optimal ROBDDs using methodologies based on evolutionary algorithms

  • Author

    Pulido, J. A Gómez ; Pérez, J. M Sànchez

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Extramadura, Spain
  • Volume
    146
  • Issue
    4
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    164
  • Lastpage
    168
  • Abstract
    Reduced and ordered binary decision diagrams (ROBDDs) are compact data structures used for representing logic functions. The ROBDD size is very sensitive to the chosen variable ordering of the logical function. The authors propose a methodology based on simulated annealing (SA) algorithms and on genetic algorithms (GAs) for optimising ROBDDs
  • Keywords
    binary decision diagrams; data structures; genetic algorithms; logic CAD; simulated annealing; ROBDD size; data structures; evolutionary algorithms; genetic algorithms; logic functions; optimal ROBDDs; reduced and ordered binary decision diagrams; simulated annealing; variable ordering;
  • fLanguage
    English
  • Journal_Title
    Circuits, Devices and Systems, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2409
  • Type

    jour

  • DOI
    10.1049/ip-cds:19990439
  • Filename
    803790