B. Sereeter, C. Vuik, C. Witteveen (2017), On a comparison of Newton-Raphson solvers for power flow problems, Delft University of Technology.

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.

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.

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.

Marco Virgolin, Irma Dijk van, Jan Wiersma, Cecile Ronckers, Cees Witteveen, Coen Rasch, Arjan Bel, Tanja Alderliesten, Peter Bosman (2016), Learning to Associate Distances with Historical Patient Data to Enable Fine-grained Studying of Late Adverse Effects of Paediatric Radiotherapy: Data, Methodology, and First Results, In Proceedings of the 18th International Conference on the use of Computers in Radiation Therapy.

Cees Witteveen (2016), Optimising Flexibility for Simple Temporal Networks, Joaquim Filipe, Jaap van den Herik (Eds.), In Proceedings of the 8th International Conference on Agents and Artificial Intelligence Volume 2 p.524-531, SciTePress.

Peter Novák, Cees Witteveen (2015), Context-aware reconfiguration of large-scale surveillance systems: Argumentative approach, In Argument & Computation Volume 6 p.3-23.

Simon Mountakis, Tomas Klos, Cees Witteveen (2015), Temporal Flexibility Revisited: Maximizing Flexibility by Computing Bipartite Matchings, In Proceedings Twenty-Fifth International Conference on Automated Planning and Scheduling p.174 - 178.

ED Kreutzberger, JW Konings, S Meijer, C Witteveen, BM Meijers, E Pekin, C Macharis, J Kiel, Y Kawabata, W Vos (2014), Identification of promising Twin Hub networks: Report of Work Package 1 of the Intermodal rail freight Twin hub Network Northwest Europe - project, Twin Hub network.

C Witteveen, M Wilson, TB Klos (2014), Optimal decomposition in linear constraint systems, CE Brodley, P Stone (Eds.), In Proceedings Twenty-Eighth AAAI Conference on Artificial Intelligence p.2381-2387, American Association for Artificial Intelligence (AAAI).