Berger, Bernhard JohannesBernhard JohannesBergerPlump, ChristinaChristinaPlumpDrechsler, RolfRolfDrechsler2026-09-132026-09-132026-08-13Genetic and Evolutionary Computation Conference, GECCO 2026https://hdl.handle.net/11420/64740Optimisation research requires possibilities to test and evaluate new algorithms and algorithm adaptions. Two interesting problem classes-relevant to society-that covers shortest path problems and resource allocation in a very dynamic environment, with the possibility of running endlessly, are ride-hailing and ride-sharing. This paper presents an extensible simulation framework for ride-hailing and ride-sharing problems that allows researchers to create solutions in any program language, provides a graphical user-interface, and automatic evaluation.enhttps://creativecommons.org/licenses/by/4.0/Natural Sciences and Mathematics::519: Applied Mathematics, ProbabilitiesConference Paper10.1145/3795101.381473310.15480/882.18307