M. Virgolin, T. Alderliesten, C. Witteveen, P. A.N. Bosman (2021), Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions, In Evolutionary computation Volume 29 p.211-237.

Baljaa Sereeter, Werner van Westering, Cornelis Vuik, Cees Witteveen (2019), Linear power flow method improved with numerical analysis techniques applied to a very large network, In Energies Volume 12.

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.

Anton Bouter, Tanja Alderliesten, Arjan Bel, Cees Witteveen, Peter Bosman (2018), Large-scale parallelization of partial evaluations in evolutionary algorithms for real-world problems, In GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference p.1199-1206, Association for Computing Machinery (ACM).

Marco Virgolin, Irma W.E.M. van Dijk, Jan Wiersma, Cécile M. Ronckers, Cees Witteveen, Arjan Bel, Peter A.N. Bosman (2018), On the feasibility of automatically selecting similar patients in highly individualized radiotherapy dose reconstruction for historic data of pediatric cancer survivors, In Medical Physics Volume 45 p.1504-1517.

Marco Virgolin, Tanja Alderliesten, Arjan Bel, Cees Witteveen, Peter A.N. Bosman (2018), Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors, In Proceedings of the 2018 Genetic and Evolutionary Computation Conference, GECCO 2018 p.1395-1402, Association for Computing Machinery (ACM).

Ngoc Hoang Luong, Anton Bouter, Marjolein C. Van Der Meer, Yury Niatsetski, Cees Witteveen, Arjan Bel, Tanja Alderliesten, Peter A.N. Bosman (2017), Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective Optimization Algorithms, In GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion p.1372-1379, Association for Computing Machinery (ACM).

Anton Bouter, Cees Witteveen, Tanja Alderliesten, Peter Bosman (2017), Exploiting linkage information in real-valued optimization with the real-valued gene-pool optimal mixing evolutionary algorithm, In GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference p.705-712.

Baljinnyam Sereeter, Kees Vuik, Cees Witteveen (2017), Newton Power Flow Methods for Unbalanced Three-Phase Distribution Networks, In Energies Volume 10 p.1-20.