| Learning in multiagent systems S Sen, G Weiss Multiagent systems: A modern approach to distributed artificial intelligence …, 1999 | 288 | 1999 |
| Comparison of agent-based scheduling to look-ahead heuristics for real-time transportation problems M Mes, M Van Der Heijden, A Van Harten European journal of operational research 181 (1), 59-75, 2007 | 187 | 2007 |
| Inventory routing for dynamic waste collection M Mes, M Schutten, AP Rivera Waste management 34 (9), 1564-1576, 2014 | 85 | 2014 |
| Synchromodal transport planning at a logistics service provider MRK Mes, ME Iacob Logistics and Supply Chain Innovation, 23-36, 2016 | 54 | 2016 |
| Multi-hop driver-parcel matching problem with time windows W Chen, M Mes, M Schutten Flexible services and manufacturing journal 30 (3), 517-553, 2018 | 53 | 2018 |
| Hierarchical knowledge gradient for sequential sampling MRK Mes, WB Powell, PI Frazier The Journal of Machine Learning Research 12, 2931-2974, 2011 | 45 | 2011 |
| Anticipatory freight selection in intermodal long-haul round-trips AEP Rivera, MRK Mes Transportation Research Part E: Logistics and Transportation Review 105, 176-194, 2017 | 39 | 2017 |
| Interaction between intelligent agent strategies for real-time transportation planning M Mes, M van der Heijden, P Schuur Central European Journal of Operations Research, 1-22, 2011 | 38 | 2011 |
| Look-ahead strategies for dynamic pickup and delivery problems M Mes, M van der Heijden, P Schuur OR spectrum 32 (2), 395-421, 2010 | 37 | 2010 |
| The delivery dispatching problem with time windows for urban consolidation centers WJA van Heeswijk, MRK Mes, JMJ Schutten Transportation science 53 (1), 203-221, 2019 | 36 | 2019 |
| Cooperation in manure-based biogas production networks: An agent-based modeling approach DM Yazan, L Fraccascia, M Mes, H Zijm Applied energy 212, 820-833, 2018 | 34 | 2018 |
| Design choices for agent-based control of AGVs in the dough making process M Mes, M van der Heijden, J van Hillegersberg Decision Support Systems 44 (4), 983-999, 2008 | 33 | 2008 |
| Patient admission planning using approximate dynamic programming PJH Hulshof, MRK Mes, RJ Boucherie, EW Hans Flexible services and manufacturing journal 28 (1-2), 30-61, 2016 | 32* | 2016 |
| Design of sustainable second-generation biomass supply chains DM Yazan, I van Duren, M Mes, S Kersten, J Clancy, H Zijm Biomass and Bioenergy 94, 173-186, 2016 | 30 | 2016 |
| Using simulation to assess the opportunities of dynamic waste collection M Mes Use cases of discrete event simulation, 277-307, 2012 | 28 | 2012 |
| Economic sustainability of biogas production from animal manure: a regional circular economy model DM Yazan, D Cafagna, L Fraccascia, M Mes, P Pontrandolfo, H Zijm Management research review, 2018 | 23 | 2018 |
| Service and transfer selection for freights in a synchromodal network AP Rivera, M Mes International Conference on Computational Logistics, 227-242, 2016 | 23 | 2016 |
| Towards an approach for long term AIS-based prediction of vessel arrival times A Dobrkovic, ME Iacob, J van Hillegersberg, MRK Mes, M Glandrup Logistics and Supply Chain Innovation, 281-294, 2016 | 22 | 2016 |
| Approximate dynamic programming by practical examples MRK Mes, AP Rivera Markov Decision Processes in Practice, 63-101, 2017 | 21 | 2017 |
| Dynamic threshold policy for delaying and breaking commitments in transportation auctions M Mes, M Van Der Heijden, P Schuur Transportation Research Part C: Emerging Technologies 17 (2), 208-223, 2009 | 21* | 2009 |
Marco SchuttenUniversity of TwenteVerified email at utwente.nl
