• DocumentCode
    2731913
  • Title

    Using evolutionary techniques to hunt for snakes and coils

  • Author

    Casella, D.A. ; Potter, W.D.

  • Author_Institution
    Artificial Intelligence Center, Georgia Univ., Athens, Georgia
  • Volume
    3
  • fYear
    2005
  • fDate
    2-5 Sept. 2005
  • Firstpage
    2499
  • Abstract
    The snake-in-the-box problem is a difficult problem in mathematics and computer science that deals with finding the longest-possible constrained path that can be formed by following the edges of a multidimensional hypercube. This problem was first described by Kautz in the late 1950´s (Kautz, 1958). Snake-in-the-box codes, or ´snakes,´ are the node or transition sequences of constrained open paths through an n-dimensional hypercube. Coil-in-the-box codes, or ´coils,´ are the node or transition sequences of constrained closed paths, or cycles, through an n-dimensional hypercube. Snakes and coils have many applications in electrical engineering, coding theory, and computer network topologies. Generally, the longer the snake or coil for a given dimension, the more useful it is in these applications (Klee, 1970). By applying a relatively recent evolutionary search algorithm known as a population-based stochastic hill-climber, new lower bounds were achieved for (1) the longest-known snake in each of the dimensions nine through twelve and (2) the longest-known coil in each of the dimensions nine through eleven.
  • Keywords
    evolutionary computation; hypercube networks; optimisation; search problems; coils; constrained path; evolutionary techniques; multidimensional hypercube; snakes; transition sequences; Application software; Codes; Coils; Computer networks; Computer science; Electrical engineering; Hypercubes; Mathematics; Multidimensional systems; Network topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2005. The 2005 IEEE Congress on
  • Print_ISBN
    0-7803-9363-5
  • Type

    conf

  • DOI
    10.1109/CEC.2005.1555007
  • Filename
    1555007