• DocumentCode
    2346288
  • Title

    Statistical mechanics of combinatorial search

  • Author

    Hogg, Tad

  • Author_Institution
    Xerox Palo Alto Res. Center, CA, USA
  • fYear
    1994
  • fDate
    17-20 Nov 1994
  • Firstpage
    196
  • Lastpage
    202
  • Abstract
    The statistical mechanics of combinatorial search problems is described using the example of the well-known NP-complete graph coloring problem. A simple parameter describing the problem structure predicts the difficulty of solving the problem, on average. However, because of the large variance associated with this prediction, it is of limited direct use for individual instances. Additional parameters, describing the problem structure as well as the heuristic effectiveness, are introduced to address this issue. This also highlights the distinction between the statistical mechanics of combinatorial search problems, with their exponentially large search spaces, and physical systems, whose interactions are often governed by a simple Euclidean metric
  • Keywords
    computational complexity; graph colouring; search problems; statistical mechanics; Euclidean metric; NP-complete graph coloring problem; combinatorial search problems; heuristic effectiveness; physical systems; predictional variance; problem structure parameter; statistical mechanics; Circuits; Cost function; Euclidean distance; Extraterrestrial measurements; Glass; Hardware; Machine vision; Physics computing; Processor scheduling; Search problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Physics and Computation, 1994. PhysComp '94, Proceedings., Workshop on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    0-8186-6715-X
  • Type

    conf

  • DOI
    10.1109/PHYCMP.1994.363681
  • Filename
    363681