Production scheduling and rescheduling with genetic algorithms C Bierwirth, DC Mattfeld Evolutionary computation 7 (1), 1-17, 1999 | 508 | 1999 |
Understanding bike-sharing systems using data mining: Exploring activity patterns P Vogel, T Greiser, DC Mattfeld Procedia-Social and Behavioral Sciences 20, 514-523, 2011 | 428 | 2011 |
Evolutionary search and the job shop: investigations on genetic algorithms for production scheduling DC Mattfeld Springer Science & Business Media, 2013 | 360 | 2013 |
On permutation representations for scheduling problems C Bierwirth, DC Mattfeld, H Kopfer Parallel Problem Solving from Nature—PPSN IV: International Conference on …, 1996 | 351 | 1996 |
An efficient genetic algorithm for job shop scheduling with tardiness objectives DC Mattfeld, C Bierwirth European journal of operational research 155 (3), 616-630, 2004 | 269 | 2004 |
Offline–online approximate dynamic programming for dynamic vehicle routing with stochastic requests MW Ulmer, JC Goodson, DC Mattfeld, M Hennig Transportation Science 53 (1), 185-202, 2019 | 166 | 2019 |
Budgeting time for dynamic vehicle routing with stochastic customer requests MW Ulmer, DC Mattfeld, F Köster Transportation Science 52 (1), 20-37, 2018 | 150 | 2018 |
Advanced routing for city logistics service providers based on time-dependent travel times JF Ehmke, A Steinert, DC Mattfeld Journal of computational science 3 (4), 193-205, 2012 | 135 | 2012 |
Anticipation and flexibility in dynamic scheduling J Branke*, DC Mattfeld International Journal of Production Research 43 (15), 3103-3129, 2005 | 135 | 2005 |
On modeling stochastic dynamic vehicle routing problems MW Ulmer, JC Goodson, DC Mattfeld, BW Thomas EURO Journal on Transportation and Logistics 9 (2), 100008, 2020 | 126 | 2020 |
Stochastic dynamic vehicle routing in the light of prescriptive analytics: A review N Soeffker, MW Ulmer, DC Mattfeld European Journal of Operational Research 298 (3), 801-820, 2022 | 119 | 2022 |
Strategic and operational planning of bike-sharing systems by data mining–a case study P Vogel, DC Mattfeld International conference on computational logistics, 127-141, 2011 | 117 | 2011 |
Preemptive depot returns for dynamic same-day delivery MW Ulmer, BW Thomas, DC Mattfeld EURO journal on Transportation and Logistics 8 (4), 327-361, 2019 | 113 | 2019 |
Dynamic lookahead policies for stochastic-dynamic inventory routing in bike sharing systems J Brinkmann, MW Ulmer, DC Mattfeld Computers & Operations Research 106, 260-279, 2019 | 111 | 2019 |
Floating car based travel times for city logistics JF Ehmke, S Meisel, DC Mattfeld Transportation research part C: emerging technologies 21 (1), 338-352, 2012 | 110 | 2012 |
Synergies of operations research and data mining S Meisel, D Mattfeld European Journal of Operational Research 206 (1), 1-10, 2010 | 104 | 2010 |
Terminal operations management in vehicle transshipment DC Mattfeld, H Kopfer Transportation research part A: Policy and Practice 37 (5), 435-452, 2003 | 102 | 2003 |
Vehicle routing for attended home delivery in city logistics JF Ehmke, DC Mattfeld Procedia-Social and Behavioral Sciences 39, 622-632, 2012 | 101 | 2012 |
A search space analysis of the job shop scheduling problem DC Mattfeld, C Bierwirth, H Kopfer Annals of Operations Research 86 (0), 441-453, 1999 | 100 | 1999 |
Service network design with mixed autonomous fleets YO Scherr, BAN Saavedra, M Hewitt, DC Mattfeld Transportation Research Part E: Logistics and Transportation Review 124, 40-55, 2019 | 93 | 2019 |