Kastner, MarvinMarvinKastnerPache, HannahHannahPacheJahn, CarlosCarlosJahn2019-11-142019-11-142019-09-26Hamburg International Conference of Logistics (HICL): 111-135 (2019)http://hdl.handle.net/11420/3770Purpose: While simulation-based optimization has been discussed in theory and practically employed at container terminals, the different publications in this field have not yet been presented and compared in a structured manner. This paper gathers the latest developments and examine the similarities and differences of the provided approaches. Furthermore, research gaps are identified. Methodology: The recent literature of simulation-based optimization on container terminals is examined using a mapping review approach. Emphasis is laid on the covered problems, chosen meta-heuristics, and the shapes of the solution space. Findings: In the applied literature of container terminals genetic algorithms prevail, both for scheduling problems and for the determination of discrete and/or continuous parameters. Because of the no-free-lunch-theorem for optimization, it is open whether the chosen optimization approach serves the purpose best. Originality: To the best of our knowledge, the existing literature regarding simulation-based optimization at container terminals has never been addressed in a detailed overview. The elaborated comparison of the different publications leads to further research directionsenhttps://creativecommons.org/licenses/by-sa/4.0/Simulation-based optimizationSimulation-based optimisationContainer terminalMaritime logisticsWirtschaftConference Paperurn:nbn:de:gbv:830-882.05466410.15480/882.2493https://www.epubli.de/shop/buch/Digital-Transformation-in-Maritime-and-City-Logistics-Christian-M-Ringle-Wolfgang-Kersten-Carlos-Jahn-9783750249493/9209710.15480/882.2493Conference Paper