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A New Approach to Solve Permutation Scheduling Problems with Ant Colony Optimization

  • Daniel Merkle
  • Martin Middendorf
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2037)

Abstract

A new approach for solving permutation scheduling problems with Ant Colony Optimization is proposed in this paper. The approach assumes that no precedence constraints between the jobs have to be fulfilled. It is tested with an ant algorithm for the Single Machine Total Weighted Deviation Problem. The new approach uses ants that allocate the places in the schedule not sequentially, as the standard approach, but in random order. This leads to a better utilization of the pheromone information. It is shown that adequate combinations between the standard approach which can profit from list scheduling heuristics and the new approach perform particularly well.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Daniel Merkle
  • Martin Middendorf
    • 1
  1. 1.Institute for Applied Computer Science and Formal Description MethodsUniversity of KarlsruheGermany

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