Abstract
Multi-agent Systems are a promising approach to implement flexible and effective decentralized control mechanismen for the logistic domain. This paper intends to introduce the key features of a multi-agent system that is under development for several years. The agents autonomously plan, optimize, and control a railway transportation system. For this purpose the agents interact, communicate and negotiate. This paper presents an overview how different techniques from operations research, artificial intelligence and soft computing are integrated into a multi-agent system to solve this difficult and complex real life problem.
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Dangelmaier, W., Klöpper, B., Rüngerer, N., Aufenanger, M. (2008). Aspects of Agent Based Planning in the Demand Driven Railcab Scenario. In: Kreowski, HJ., Scholz-Reiter, B., Haasis, HD. (eds) Dynamics in Logistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76862-3_16
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DOI: https://doi.org/10.1007/978-3-540-76862-3_16
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