New lower bounds for the coil-in-the-box problem: using evolutionary techniques to hunt for coils

  • Authors:
  • D. A. Casella;W. D. Potter

  • Affiliations:
  • Artificial Intelligence Center, Univ. of Georgia, Athens, Georgia;Artificial Intelligence Center, Univ. of Georgia, Athens, Georgia

  • Venue:
  • CIMMACS'05 Proceedings of the 4th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
  • Year:
  • 2005

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Abstract

The coil-in-the-box problem is a variation of a difficult problem in mathematics and computer science, known as the snake-in-the-box problem, that was first described by Kautz in the late 1950's [7]. Coil-in-the-box codes have many applications in electrical engineering, coding theory, and computer network topologies. Generally, the longer the coil for a given dimension, the more useful it is in these applications [9]. By applying a relatively recent evolutionary search algorithm known as a population-based stochastic hill-climber, new lower bounds were achieved for the longest-known coil in each of the dimensions nine through eleven.