An ILS-Based metaheuristic for the stacker crane problem

  • Authors:
  • Thais Ávila;Ángel Corberán;Isaac Plana;José M. Sanchis

  • Affiliations:
  • Dept. de Estadística e Investigación Operativa, Universitat de València, Spain;Dept. de Estadística e Investigación Operativa, Universitat de València, Spain;Dept. Matemáticas para la Economía y la Empresa, Universitat de València, Spain;Dept. de Matemática Aplicada, Universidad Politécnica de Valencia, Spain

  • Venue:
  • EvoCOP'12 Proceedings of the 12th European conference on Evolutionary Computation in Combinatorial Optimization
  • Year:
  • 2012

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Abstract

In this paper we propose a metaheuristic algorithm for the Stacker Crane Problem. This is an NP-hard arc routing problem whose name derives from the practical problem of operating a crane. Here we present a formulation and a lower bound for this problem and propose a metaheuristic algorithm based on the combination of a Multi-start and an Iterated Local Search procedures. Computational results on a large set of instances are presented.