@inproceedings{7a668e33af074cc0b4d8b3f5f35239b6,
title = "A learning agent for a multi-agent system for project scheduling in construction",
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.",
keywords = "Discrete event simulation, MRCPSP, Multi-agent system, Project scheduling",
author = "Florian Wenzler and G{\"u}nthner, {Willibald A.}",
note = "Publisher Copyright: {\textcopyright} ECMS Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors).; 30th European Conference on Modelling and Simulation, ECMS 2016 ; Conference date: 31-05-2016 Through 03-06-2016",
year = "2016",
doi = "10.7148/2016-0011",
language = "English",
series = "Proceedings - 30th European Conference on Modelling and Simulation, ECMS 2016",
publisher = "European Council for Modelling and Simulation",
pages = "11--17",
editor = "Thorsten Claus and Frank Herrmann and Michael Manitz and Oliver Rose",
booktitle = "Proceedings - 30th European Conference on Modelling and Simulation, ECMS 2016",
}