• DocumentCode
    1122210
  • Title

    Parallel Branch-and-Bound Formulations for AND/OR Tree Search

  • Author

    Kumar, Vipin ; Kanal, Laveen N.

  • Author_Institution
    Department of Computer Sciences, University of Texas at Austin, Austin, TX 78712.
  • Issue
    6
  • fYear
    1984
  • Firstpage
    768
  • Lastpage
    778
  • Abstract
    This paper discusses two general schemes for performing branch-and-bound (B&B) search in parallel. These schemes are applicable in principle to most of the problems which can be solved by B&B. The schemes are implemented for SSS*, a versatile algorithm having applications in game tree search, structural pattern analysis, and AND/OR graph search. The performance of parallel SSS* is studied in the context of AND/OR tree and game tree search. The paper concludes with comments on potential applications of these parallel implementations of SSS* in structural pattern analysis and game playing.
  • Keywords
    Artificial intelligence; Context modeling; Laboratories; Minimax techniques; Neodymium; Operations research; Parallel algorithms; Pattern analysis; State-space methods; Tree graphs; AND/OR graphs; branch-and-bound; game trees; minimax search; parallel algorithms;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1984.4767600
  • Filename
    4767600