Title: A multi-agent learning approach for the multi-mode resource-constrained project scheduling problem
Authors: Wauters, Tony ×
Verbeeck, Katja
Vanden Berghe, Greet
De Causmaecker, Patrick #
Issue Date: 10-May-2009
Publisher: International Foundation for Autonomous Agents and Multiagent Systems (
Host Document: Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2009) pages:1-8
Conference: Autonomous Agents and Multiagent Systems edition:2009 location:Hungary date:10-15 May 2009
Abstract: This paper introduces a novel approach for solving the multi-mode resource-constrained project scheduling problem (MRCPSP), in which multiple execution modes are available for each of the activities of the project. The new approach applies simple agent learning devices, i.e. learning automata,to construct the project schedules. We present some comparative results, to show that our decentralized method can easily compete with the best performing algorithms for the MRCPSP.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section
Computer Science, Campus Kulak Kortrijk
Faculty of Science, Campus Kulak Kortrijk
Computer Science Technology TC, Technology Campuses Ghent and Aalst
Technologiecluster Computerwetenschappen
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
OPTMAS - paper.pdfMain article Published 386KbAdobe PDFView/Open


All items in Lirias are protected by copyright, with all rights reserved.