Tabu search with consistent neighbourhood for strip packing

  • Authors:
  • Giglia Gómez-Villouta;Jean-Philippe Hamiez;Jin-Kao Hao

  • Affiliations:
  • LERIA, Université d'Angers, Angers, France;LERIA, Université d'Angers, Angers, France;LERIA, Université d'Angers, Angers, France

  • Venue:
  • IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
  • Year:
  • 2010

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Abstract

This paper introduces a new tabu search algorithm for a strip packing problem. It integrates several key features: A consistent neighborhood, a fitness function including problem knowledge, and a diversification based on the history of the search. The neighborhood only considers valid, sometimes partial, packings. The fitness function incorporates measures related to the empty spaces. Diversification relies on a set of historically "frozen" objects. Experimental results are shown on a set of well-known hard instances and compared with previously reported tabu search algorithms as well as the best performing algorithms.