English, Article, Journal or magazine article edition: Meta-heuristic resource-constrained project scheduling:solution space restrictions and neighbourhood extensions D. DEBELS; M. VANHOUCKE

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Bookmark: http://trove.nla.gov.au/version/15365
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • Meta-heuristic resource-constrained project scheduling:solution space restrictions and neighbourhood extensions
Author
  • D. DEBELS
  • M. VANHOUCKE
Physical Description
  • preprint
Notes
  • The resource-constrained project scheduling problem (RCPSP) has been extensively investigated during the past decades. Due to its strongly NP-hard status and the need for solving large realistic project instances, the recent focus has shifted from exact optimisation procedures to (meta-) heuristic approaches. In this paper, we extend some existing state-of-the-art RCPSP procedures in two ways. First, we extensively test a decomposition approach that splits problem instances into smaller sub-problems to be solved with an (exact or heuristic) procedure, and re-incorporates the obtained solutions for the sub-problems into the solution of the main problem, possibly leading to an overall better solution. Second, we study the influence of an extended neighbourhood search on the performance of a meta-heuristic procedure. Computational results reveal that both techniques are valuable extensions and lead to improved results.
  • Resource-constrained project scheduling; Problem decomposition; Meta-heuristics
  • RePEc:rug:rugwps:06/​387
Language
  • English
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