A faster branch-and-bound algorithm for the earliness-tardiness scheduling problem

  • Authors:
  • Francis Sourd;Safia Kedad-Sidhoum

  • Affiliations:
  • LIP6, CNRS, Paris, France 75252;LIP6, Université Pierre et Marie Curie, Paris, France 75252

  • Venue:
  • Journal of Scheduling
  • Year:
  • 2008

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Abstract

This paper addresses the one-machine scheduling problem with earliness-tardiness penalties. We propose a new branch-and-bound algorithm that can solve instances with up to 50 jobs and that can solve problems with even more general non-convex cost functions. The algorithm is based on the combination of a Lagrangean relaxation of resource constraints and new dominance rules.