Marco Virgolin, Tanja Alderliesten, Cees Witteveen, P.A.N. Bosman (2017), Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building block learning.
Jan Elffers, Mathijs de Weerdt (2017), Scheduling with two non-unit task lengths is NP-complete (Not published).
Nils H. van der Blij, Laura M. Ramirez-Elizondo, Matthijs T. J. Spaan, Pavol Bauer (2017), Stability of DC Distribution Systems: An Algebraic Derivation, In Energies Volume 10 p.1-17.
Kiriakos Simon Mountakis, Tomas Klos, Cees Witteveen (2017), Stochastic task networks trading performance for stability, Domenico Salvagnin, Michele Lombardi (Eds.), In Integration of AI and OR Techniques in Constraint Programming - 14th International Conference, CPAIOR 2017, Proceedings p.302-311, Springer.
Frans A. Oliehoek, Matthijs T. J. Spaan, Bas Terwijn, Philipp Robbel, João V. Messias (2017), The MADP Toolbox: An Open Source Library for Planning and Learning in (Multi-)Agent Systems, In Journal of Machine Learning Research Volume 18 p.1-5.
Anton Bouter, Ngoc Hoang Luong, Cees Witteveen, Tanja Alderliesten, Peter Bosman (2017), The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm, In GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference p.537-544.
Rens Philipsen, Mathijs de Weerdt, Laurens de Vries (2016), Auctions for Congestion Management in Distribution Grids, In 13th International Conference on the European Energy Market (EEM 2016) p.1-5.
Shekhar Gupta (2016), Cluster management system design for big data infrastructures, PhD Thesis Delft University of Technology.
Frits de Nijs, Matthijs T. J. Spaan, M.M. de Weerdt (2016), Decoupling a Resource Constraint through Fictitious Play in Multi-agent Sequential Decision Making, In Proceedings - 22nd European Conference on Artificial Intelligence, ECAI 2016 Volume 285 p.1724-1725, IOS Press.
Rens Philipsen, German Morales Espana, Mathijs de Weerdt, Laurens de Vries (2016), Imperfect Unit Commitment Decisions with Perfect Information: a Real-time Comparison of Energy versus Power, In 19th Power Systems Computation Conference, PSCC 2016 p.1-7.