Marco Virgolin, Tanja Alderliesten, Peter A.N. Bosman (2019), Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression, In GECCO'19 p.1084-1092, Association for Computing Machinery (ACM).

Pim van den Bogaerdt, Mathijs de Weerdt (2019), Lower Bounds for Uniform Machine Scheduling Using Decision Diagrams, Louis-Martin Rousseau, Kostas Stergiou (Eds.), In Integration of Constraint Programming, Artificial Intelligence, and Operations Research p.565-580, Springer.

Longjian Piao, Laurens De Vries, Mathijs de Weerdt, Neil Yorke-Smith (2019), Markets for Direct Current Distribution Systems: Towards Energy-based vs Flex-based Designs, In 16th International Conference on the European Energy Market, EEM 2019, IEEE.

Frits de Nijs, Mathijs M. de Weerdt, Matthijs T. J. Spaan (2019), Multi-agent Planning Under Uncertainty for Capacity Management, Peter Palensky, Miloš Cvetković, Tamás Keviczky (Eds.), In Intelligent Integrated Energy Systems p.197-213, Springer.

Baljinnyam Sereeter, Cornelis Vuik, Cees Witteveen (2019), On a comparison of Newton–Raphson solvers for power flow problems, In Journal of Computational and Applied Mathematics Volume 360 p.157-169.

Baljinnyam Sereeter, Cornelis Vuik, Cornelis Witteveen, Peter Palensky (2019), Optimal power flow formulations and their impacts on the performance of solution methods, In 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 Volume 2019-August, IEEE.

Lei He, Arthur Guijt, Mathijs de Weerdt, Lining Xing, Neil Yorke-Smith (2019), Order Acceptance and Scheduling with Sequence-Dependent Setup Times: A New Memetic Algorithm and Benchmark of the State of the Art, In Computers and Industrial Engineering Volume 138 p.1-15.

Erwin Walraven (2019), Planning under Uncertainty in Constrained and Partially Observable Environments, PhD Thesis Delft University of Technology.

Erwin Walraven, Matthijs T.J. Spaan (2019), Point-Based Value Iteration for Finite-Horizon POMDPs, In The Journal of Artificial Intelligence Research Volume 65 p.307-341.

Frits de Nijs (2019), Resource-constrained Multi-agent Markov Decision Processes, PhD Thesis Delft University of Technology.