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Design of Iterated Local Search Algorithms

An Example Application to the Single Machine Total Weighted Tardiness Problem
  • Matthijs den Besten
  • Thomas Stützle
  • Marco Dorigo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2037)

Abstract

In this article we investigate the application of iterated local search (ILS) to the single machine total weighted tardiness problem. Our research is inspired by the recently proposed iterated dynasearch approach, which was shown to be a very effective ILS algorithm for this problem. In this paper we systematically configure an ILS algorithms by optimizing the single procedures part of ILS and optimizing their interaction. We come up with a highly effective ILS approach, which outperforms our implementation of the iterated dynasearch algorithm on the hardest benchmark instances.

Keywords

Local Search Acceptance Criterion Local Search Algorithm Iterate Local Search Total Weighted Tardiness 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Matthijs den Besten
    • 1
  • Thomas Stützle
    • 1
  • Marco Dorigo
    • 2
  1. 1.Intellectics GroupDarmstadt University of TechnologyDarmstadtGermany
  2. 2.Université Libre de Bruxelles IRIDIABrusselsBelgium

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