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Title

Collaborative agent teams for a supply chain network design problem

Authors
Carle, Marc-André
Martel, Alain
Published in 11th International Meeting on Logistics Research. Lausanne (Suisse) - 7-9 septembre - . 2016
Abstract When facing complex optimization models, it is relevant to use the best tools available to tackle each model or sub-model. A multi-agent system allows for that much flexibility. Extending an earlier study, this paper proposes a Collaborative Agent Teams (CAT) approach to tackle multi-period multi-product supply chain network design problems, for which new best results are obtained.
Keywords Multidimensional optimizationSolution methodA-TeamSupply Chain Network Design
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CARLE, Marc-André, MARTEL, Alain, ZUFFEREY, Nicolas. Collaborative agent teams for a supply chain network design problem. In: 11th International Meeting on Logistics Research. Lausanne (Suisse). [s.l.] : [s.n.], 2016. https://archive-ouverte.unige.ch/unige:91443

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Deposited on : 2017-01-27

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