• 2019

    Conference Paper

    Bossek, J., Grimme, C., Meisel, S., Rudolph, G., & Trautmann, H. (2019). Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm. In Deb, K., Goodman, E., Coello, C. C. A., Klamroth, K., Miettinen, K., Mostaghim, S., & Reed, P. (Eds.), Evolutionary Multi-Criterion Optimization (EMO) (pp. 516–528). Lecture Notes in Computer Science: Vol. 11411. Springer International Publishing.
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    Priekule, L., & Meisel, S. (2019). Lookahead Contraction Policies for Bayesian Ranking and Selection with Pairwise Comparisons. In Proceedings of the Winter Simulation Conference 2019, National Harbor, MD. (Accepted)
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    Chapter in Book

    Meisel, S. (2019). All Dynamic Decision Problems are Created with Equal Structure. In Bergener, K., Räckers, M., & Stein, A. (Eds.), The Art of Structuring (pp. 113–123).
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  • 2018

    Article in Journal

    Ball, R., Branke, J., & Meisel, S. (2018). Optimal Sampling for Simulated Annealing under Noise. INFORMS Journal on Computing, 30(1), 200–215.
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    Meisel, S., & Merfeld, T. (2018). Economic Incentives for the Adoption of Electric Vehicles: A Classification and Review of E-Vehicle Services. Transportation Research Part D: Transport and Environment, 2018(65), 264–287.
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    Conference Paper

    Bossek, J., Grimme, C., Meisel, S., Rudolph, G., & Trautmann, H. (2018). Local Search Effects in Bi-Objective Orienteering. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '18), Kyoto, Japan, 585–592.
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  • 2017

    Article in Journal

    Collado, R., Meisel, S., & Priekule, L. (2017). Risk-Averse Stochastic Path Detection. European Journal of Operational Research, 260(1), 195–211.
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    Conference Paper

    Priekule, L., & Meisel, S. (2017). A Bayesian Ranking and Selection Problem with Pairwise Comparisons. In Proceedings of the Winter Simulation Conference 2017, Las Vegas, NV, 2149–2160.
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    Chapter in Book

    Meisel, S., & Powell, W. (2017). Dynamic Decision Making in Energy Systems with Storage and Renewable Energy Sources. In Fichtner, W., Heuveline, V., & Leibfried, T. (Eds.), Advances in Energy System Optimization (pp. 87–101). Springer.
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  • 2016

    Article in Journal

    Powell, W., & Meisel, S. (2016). Tutorial on Stochastic Optimization in Energy I: Modeling and Policies. IEEE Transactions on Power Systems, 31(2), 1459–1467.
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    Powell, W., & Meisel, S. (2016). Tutorial on Stochastic Optimization in Energy II: An Energy Storage Illustration. IEEE Transactions on Power Systems, 31(2), 1468–1475.
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    Conference Paper

    Meisel, S., & Merfeld, T. (2016). Efficient use of Renewable Energy with Storage and E-mobility Service. In Proceedings of the Karlsruhe Service Summit Research Workshop 2016, Karlsruhe, Deutschland.
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    Article in Encyclopedia

    Meisel, S. (2016). Approximate Dynamic Programming. In Gronau, N., Becker, J., Sinz, , E, , Suhl, L., & Leimeister, J.-M. (Eds.), Enzyklopädie der Wirtschaftsinformatik (pp. NN). GITO Verlag.
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  • 2015

    Article in Journal

    Meisel, S. (2015). Antizipierende Optimierung. WISU — Das Wirtschaftsstudium, 8-9/15.
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    Conference Paper

    Grimme, C., Meisel, S., Trautmann, H., Rudolph, G., & Wölck, M. (2015). Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle. In Proceedings of the European Conference On Information Systems, Münster, Germany.
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    Meisel, S., Grimme, C., Bossek, J., Wölck, M., Rudolph, G., & Trautmann, H. (2015). Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle. In Proceedings of the Genetic and Evolutionary Computation Conference, Madrid, Spain, 425–432.
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    Meisel, S., & Wölck, M. (2015). Evaluating Idle Time Policies for Real-Time Routing of a Service Vehicle. In Proceedings of the 23rd European Conference on Information Systems, Münster, Deutschland.
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  • 2012

    Article in Journal

    Ehmke, J., Meisel, S., & Mattfeld, D. (2012). Floating Car Based Travel Times for City Logistics. Transportation Research Part C: Emerging Technologies, 21(1), 338–352.
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    Conference Paper

    Ricker, V., Meisel, S., & Mattfeld, D. (2012). Optimierung von stationsbasierten Bike-Sharing Systemen. In Proceedings of the Multikonferenz Wirtschaftsinformatik 2012, Braunschweig.
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  • 2011

    Conference Paper

    Suppa, U., Meisel, S., & Mattfeld, D. (2011). GRASP based Vehicle Routing for After Sales Services. In Proceedings of the MIC 2011, Udine, Italien.
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    Book (Monography)

    Meisel, S. (2011). Anticipatory Optimization for Dynamic Decision Making. Operations Research/Computer Science Interfaces: Vol. 51. New York: Springer.
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    Chapter in Book

    Meisel, S., Suppa, U., & Mattfeld, D. (2011). Serving Multiple Urban Areas with Stochastic Customer Requests. In Kreowski, H.-J., Scholz-Reiter, B., & Thoben, K.-D. (Eds.), Dynamics in Logistics (pp. 59–68). Springer Verlag.
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    Suppa, U., Meisel, S., & Mattfeld, D. (2011). Flottenmanagement für Vor-Ort-Kundendienste. In Siepermann, C., & Eley, M. (Eds.), Logistik — Gestern, heute, morgen (pp. 107–122).
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  • 2010

    Article in Journal

    Meisel, S., & Mattfeld, D. (2010). Synergies of Operations Research and Data Mining. European Journal of Operational Research, 206(1), 1–10.
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    Chapter in Book

    Ehmke, J., Meisel, S., & Mattfeld, D. (2010). Floating Car Data Based Analysis of Urban Travel Times for the Provision of Traffic Quality. In Barceló, J., & Kuwahara, M. (Eds.), Traffic Data Collection and its Standardization (pp. 129–150). International Series in Operations Research — Management Science: Vol. 144. New York: Springer Verlag.
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  • 2009

    Article in Journal

    Ehmke, J., Meisel, S., Engelmann, S., & Mattfeld, D. (2009). Data Chain Management for Planning in City Logistics. International Journal of Data Mining, Modelling and Management, 1(4), 335–356.
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    Conference Paper

    Meisel, S., Suppa, U., & Mattfeld, D. (2009). Serving Multiple Urban Areas with Stochastic Customer Requests. In Proceedings of the International Conference on Dynamics in Logistics 2009, Bremen.
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    Meisel, S., Suppa, U., & Mattfeld, D. (2009). GRASP based Approximate Dynamic Programming for Dynamic Routing of a Vehicle. In Proceedings of the VIII Metaheuristic International Conference 2009, Hamburg.
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    Chapter in Book

    Meisel, S., Suppa, U., & Mattfeld, D. (2009). GRASP based Approximate Dynamic Programming for Dynamic Routing of a Vehicle. In Voss, S., & Caserta, M. (Eds.), MIC 2009 Post-Conference Volume (pp. 1–9). Springer Verlag. (In press)
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  • 2008

    Article in Journal

    Branke, J., Meisel, S., & Schmidt, C. (2008). Simulated Annealing in the Presence of Noise. Journal of Heuristics, 14(6), 627–654.
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    Ehmke, J., & Meisel, S. (2008). Charakterisierung des städtischen Straßenverkehrs mit Floating Car Data und Data Mining. Straßenverkehrstechnik, 52(10), 613–620.
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    Conference Paper

    Ehmke, J., Meisel, S., & Mattfeld, D. (2008). Floating Car Data Based Analysis of Urban Travel Times for the Provision of Traffic Quality. In Proceedings of the International Workshop on Traffic Data Collection and its Standardization IWTDCS 08, Barcelona.
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    Chapter in Book

    Ehmke, J., & Meisel, S. (2008). Ermittlung dynamischer Fahrzeiten für die City-Logistik. In Mattfeld, D., Voss, S., Suhl, L., & Günther, H.-O. (Eds.), Informations- und Kommunikationssysteme in Supply Chain Management, Logistik und Transport (pp. 107–122). Paderborn.
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  • 2007

    Conference Paper

    Meisel, S., & Mattfeld, D. (2007). Synergies of Data Mining and Operations Research. In Proceedings of the HICCS 40, Hawaii.
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    Chapter in Book

    Meisel, S., & Mattfeld, D. (2007). Integration of Data Mining and Operations Research. In Wang, J. (Ed.), Encyclopedia of Data Warehousing and Mining (2., pp. 1046–1052).
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