Shabanaz Chamurally

Referierte Beiträge in Fachzeitschriften und in JOURQUAL-gelisteten Sammelbänden:

• Chamurally, S. und Rieck, J. (2024): A Practical and Robust Approach for Solving the Multi-Compartment Vehicle Routing Problem Under Demand Uncertainty using Machine Learning. Networks 84, 300-325. doi.org/10.1002/net.22231.
• Chamurally, S. und Rieck, J. (2023) A Genetic Algorithm for the Multi-Compartment Vehicle Routing Problem with Stochastic Demands and Flexible Compartment Sizes, Erscheint in: Operations Research Proceedings 2022. Springer, Cham.
• Rüther, C., Chamurally, S. und Rieck, J. (2022): An a-priori Parameter Selection Approach to Enhance the Performance of Genetic Algorithms Solving Pickup and Delivery Problems. In: Trautmann, N., Gnägi, M. (eds.) Operations Research Proceedings 2021. Springer, Cham, 66-72. doi.org/10.1007/978-3-031-08623-6_11.