Ride-sharing simulation for optimisation
Citation Link: https://doi.org/10.15480/882.18307
Publikationstyp
Conference Paper
Date Issued
2026-08-13
Sprache
English
TORE-DOI
Start Page
1491
End Page
1494
Citation
Genetic and Evolutionary Computation Conference, GECCO 2026
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Association for Computing Machinery (ACM)
ISBN of container
979-840072488-6
Optimisation 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.
DDC Class
519: Applied Mathematics, Probabilities
Publication version
publishedVersion