Iterated local search and very large neighborhoods for the parallel-machines total tardiness problem

  • Authors:
  • F. Della Croce;T. Garaix;A. Grosso

  • Affiliations:
  • DAI, Politecnico di Torino, Italy;DAI, Politecnico di Torino, Italy;Dip. di Informatica, Universití di Torino, Italy

  • Venue:
  • Computers and Operations Research
  • Year:
  • 2012

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Abstract

We present computational results with a heuristic algorithm for the parallel machines total weighted tardiness problem. The algorithm combines generalized pairwise interchange neighborhoods, dynasearch optimization and a new machine-based neighborhood whose size is non-polynomial in the number of machines. The computational results significantly improve over the current state of the art for this problem.