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The Electromagnetism Meta-heuristic Applied to the Resource-Constrained Project Scheduling Problem

  • Dieter Debels
  • Mario Vanhoucke
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3871)

Abstract

Recently, an electromagnetism (EM) heuristic has been introduced by Birbil and Fang (2003) to solve unconstrained optimization problems. In this paper, we extend the EM methodology to combinatorial optimization problems and illustrate its effectiveness on the well-known resource-constrained project scheduling problem (RCPSP). We present computational experiments on a standard benchmark dataset, compare the results of the different modifications on the original EM framework with current state-of-the-art heuristics, and show that the procedure is capable of producing consistently good results for challenging instances of the problem under study. We also give directions for future research in order to further explore the potential of this new technique.

Keywords

Project Schedule Unconstrained Optimization Problem Project Schedule Problem Naval Research Logistics Constrain Project Schedule 
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 2006

Authors and Affiliations

  • Dieter Debels
    • 1
  • Mario Vanhoucke
    • 1
    • 2
  1. 1.Faculty of Economics and Business AdministrationGhent UniversityGhentBelgium
  2. 2.Vlerick Leuven Gent Management School, Operations & Technology Management CentreGhentBelgium

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