Title: A decentralized multi-project approach
Authors: Wauters, Tony ×
Verbeeck, Katja
De Causmaecker, Patrick
Vanden Berghe, Greet #
Issue Date: Apr-2012
Host Document: Proceedings of the 13th International Conference on Project Management and Scheduling.
Conference: International Conference on Project Management and Scheduling edition:13 location:Leuven date:1-4 April 2012
Abstract: The present paper demonstrates how decentralized multi-project scheduling problems can be solved
efficiently by project manager agents playing a simple sequence learning game.
The goal is to minimize the average project delay objective.
Agents learn their activity list locally by using reinforcement learning. Meanwhile, they learn to find a suitable place in the overall sequence of all activity lists. All the projects need to choose a unique place in this sequence, while a mediator agent manages a simple dispersion game.
It is shown that the sequence learning game approach is scalable and that it has a large effect on the average project delay and improves the best known results for all the MPSPLIB instances with about 25%.
Publication status: accepted
KU Leuven publication type: IMa
Appears in Collections:Technologiecluster Computerwetenschappen
Computer Science Technology TC, Technology Campuses Ghent and Aalst
Computer Science, Campus Kulak Kortrijk
Informatics Section
× corresponding author
# (joint) last author

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