International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org)
Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2009) pages:1-8
Autonomous Agents and Multiagent Systems edition:2009 location:Hungary date:10-15 May 2009
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.