Improved Hybrid Iterative Tabu Search for QAP Using Distance Cooperation

  • Omar Abdelkafi
  • Lhassane Idoumghar
  • Julien Lepagnot
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10764)

Abstract

The quadratic assignment problem can be considered as one of the hardest and most studied combinatorial problems. In this paper, we propose and analyze three distributed algorithms based on hybrid iterative tabu search. These algorithms follow the design of the parallel algorithmic level. A new mechanism to exchange information between processes is introduced. Through 34 well-known instances from QAPLIB benchmark, our algorithms produce competitive results. This experimentation shows that our best propositions can exceed or equal several leading algorithms from the literature in almost all the hardest benchmark instances.

Keywords

Metaheuristics Iterative tabu search Quadratic assignment problem Cooperative and distributed algorithms 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Omar Abdelkafi
    • 1
  • Lhassane Idoumghar
    • 2
  • Julien Lepagnot
    • 2
  1. 1.Université Lille 1, CRIStAL/UMR CNRS 9189 - INRIA Lille Nord EuropeVilleneuve d’Ascq cedexFrance
  2. 2.Université de Haute-Alsace, LMIA, EA 3993MulhouseFrance

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