freshmeat.description

来自「Lin-Kernighan heuristic for the TSP and 」· DESCRIPTION 代码 · 共 15 行

  LK is an implementation of the Lin-Kernighan heuristic for the Traveling
  Salesman Problem and for the minimum weight perfect matching problem. It is
  tuned for 2-d geometric instances, and has been applied to certain
  instances with up to a million cities. Also included are instance generators
  and Perl scripts for munging TSPLIB instances.
<p>

  This implementation introduces ``efficient cluster compensation'', an
  experimental algorithmic technique intended to make the Lin-Kernighan
  heuristic more robust in the face of clustered data.
<p>

  Parts of LK are rock solid. Other parts are alpha, and everything in between.
  It's written in CWEB for your reading pleasure.