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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
A
Learning Agent For A Multi-Agent System For Project Scheduling In
Construction |
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Authors: |
Florian
Wenzler, Willibald A. Guenthner |
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Published in:
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(2016).ECMS 2016 Proceedings edited
by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and
Simulation. doi:10.7148/2016 ISBN:
978-0-9932440-2-5 30th
European Conference on Modelling and Simulation, Regensburg Germany, May 31st
– June 3rd, 2016 |
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Citation
format: |
Florian
Wenzler, Willibald A. Guenthner
(2016). A Learning Agent For A Multi-Agent System For Project Scheduling In
Construction, ECMS 2016 Proceedings edited by: Thorsten Claus, Frank
Herrmann, Michael Manitz, Oliver Rose
European Council for Modeling and Simulation. doi:10.7148/2016-0011 |
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DOI: |
http://dx.doi.org/10.7148/2016-0011 |
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Abstract: |
The quality of the project plan
created is essential for realizing a construction project. This is a big
challenge for planners, because there are many constraints to be considered.
The problem to be solved is known as the multi-mode resource-constrained project scheduling problem (MRCPSP). This paper presents a
multi-agent approach in which resources and processes are represented as
collaborative agents. Autonomous process and resource agents register
themselves on a central blackboard where resource allocation to activities is
negotiated. As expansion to prior works, a learning agent is integrated to
improve the solutions created. A discrete-event simulation implements the model
and it is evaluated with standardized project plans from the field of
operations research. |
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Full
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