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An Artificial Bee Colony Algorithm for the Unrelated Parallel Machines Scheduling Problem

  • Francisco J. Rodriguez
  • Carlos García-Martínez
  • Christian Blum
  • Manuel Lozano
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7492)

Abstract

In this work, we tackle the problem of scheduling a set of jobs on a set of non-identical parallel machines with the goal of minimising the total weighted completion times. Artificial bee colony (ABC) algorithm is a new optimization technique inspired by the intelligent foraging behaviour of honey-bee swarm. These algorithms have shown a better or similar performance to those of other population-based algorithms, with the advantage of employing fewer control parameters. This paper proposes an ABC algorithm that combines the basic scheme with two significant elements: (1) a local search method to enhance the exploitation capability of basic ABC and (2) a neighbourhood operator based on iterated greedy constructive-destructive procedure. The benefits of the proposal in comparison to three different metaheuristic proposed in the literature are experimentally shown.

Keywords

discrete optimisation metaheuristics artificial bee colony unrelated parallel machines schedulling problem 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Francisco J. Rodriguez
    • 1
  • Carlos García-Martínez
    • 3
  • Christian Blum
    • 2
  • Manuel Lozano
    • 1
  1. 1.Department of Computer Science and Artificial IntelligenceUniversity of GranadaGranadaSpain
  2. 2.ALBCOM Research GroupTechnical University of CataloniaBarcelonaSpain
  3. 3.Department of Computing and Numerical AnalysisUniversity of CórdobaCórdobaSpain

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