Autonomous Agents and Multiagent Systems, Date: 2009/05/10 - 2009/05/15, Location: Hungary
Publication date:
2009-05-10
Publisher:
International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org)
Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2009)
Author:
Wauters, Tony
Verbeeck, Katja ; Vanden Berghe, Greet ; De Causmaecker, Patrick
Keywords:
Project Scheduling, Multi-Agent Systems, Learning Automata, itec
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.