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A Lagrangian Relaxation Based Forward-Backward Improvement Heuristic for Maximising the Net Present Value of Resource-Constrained Projects

  • Hanyu Gu
  • Andreas Schutt
  • Peter J. Stuckey
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7874)

Abstract

In this paper we propose a forward-backward improvement heuristic for the variant of resource-constrained project scheduling problem aiming to maximise the net present value of a project. It relies on the Lagrangian relaxation method to generate an initial set of schedules which are then improved by the iterative forward/backward scheduling technique. It greatly improves the performance of the Lagrangian relaxation based heuristics in the literature and is a strong competitor to the best meta-heuristics. We also embed this heuristic into a state-of-the-art CP solver. Experimentation carried out on a comprehensive set of test data indicates we compare favorably with the state of the art.

Keywords

Project Schedule Lagrangian Relaxation Scatter Search Project Schedule Problem 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 2013

Authors and Affiliations

  • Hanyu Gu
    • 1
  • Andreas Schutt
    • 1
  • Peter J. Stuckey
    • 1
  1. 1.National ICT Australia, Department of Computing and Information SystemsThe University of MelbourneAustralia

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