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Yun Li, Neil Yorke-Smith, Tamas Keviczky (2024), Machine learning enabled uncertainty set for data-driven robust optimization, In Journal of Process Control Volume 144.
Tom McDonald, Calvin Tsay, Artur M. Schweidtmann, Neil Yorke-Smith (2024), Mixed-integer optimisation of graph neural networks for computer-aided molecular design, In Computers and Chemical Engineering Volume 185.
Dirk Thierens, Peter A.N. Bosman (2024), Model-Based Evolutionary Algorithms, In GECCO '24 Companion p.1096-1126, ACM.
S. Sathujoda, L. Veeger, S. Sheth, T. Jönsthövel, N. Yorke-Smith (2024), Modeling Complex Fluid Flow in Porous Media Using Graph Neural Networks, In European Conference on the Mathematics of Geological Reservoirs, ECMOR 2024 Volume 1 p.169-188, EAGE.
S. Bakker, L. Knödler, M. Spahn, J.W. Böhmer, J. Alonso-Mora (2024), Multi-Robot Local Motion Planning Using Dynamic Optimization Fabrics, In Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems (MRS) p.149-155, IEEE.
Leila Shams Ashkezari, Gautham Ram Chandra Mouli, Neil Yorke-Smith, Pavol Bauer (2024), Multiobjective System Sizing for Heavy-Duty Electric Vehicle Charging Stations, In 2024 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2024, IEEE.
M.B. Elgersma, M.M. de Weerdt, K.I. Aardal, Germán Morales-España, Niina Helistö, Juha Kiviluoma (2024), Online Companion for Tight MIP Formulations for Optimal Operation and Investment of Storage Including Reserves.