1. 2018
  2. Large-scale parallelization of partial evaluations in evolutionary algorithms for real-world problems

    Bouter, A., Alderliesten, T., Bel, A., Witteveen, C. & Bosman, P. 1 Jul 2018 GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference. p. 1199-1206 8 p.

    Research output: Scientific - peer-reviewConference contribution

  3. On the feasibility of automatically selecting similar patients in highly individualized radiotherapy dose reconstruction for historic data of pediatric cancer survivors

    Virgolin, M., van Dijk, I. W. E. M., Wiersma, J., Ronckers, C. M., Witteveen, C., Bel, A. & Bosman, P. A. N. 2018 In : Medical Physics. 45, 4, p. 1504-1517 14 p.

    Research output: Scientific - peer-reviewArticle

  4. Symbolic regression and feature construction with GP-GOMEA applied to radiotherapy dose reconstruction of childhood cancer survivors

    Virgolin, M., Alderliesten, T., Bel, A., Witteveen, C. & Bosman, P. A. N. 2018 Proceedings of the 2018 Genetic and Evolutionary Computation Conference, GECCO 2018. New York, NY: Association for Computing Machinery (ACM), p. 1395-1402 8 p.

    Research output: Scientific - peer-reviewConference contribution

  5. 2017
  6. Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective Optimization Algorithms

    Luong, N. H., Bouter, A., Van Der Meer, M. C., Niatsetski, Y., Witteveen, C., Bel, A., Alderliesten, T. & Bosman, P. A. N. 15 Jul 2017 GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM), p. 1372-1379 8 p.

    Research output: Scientific - peer-reviewConference contribution

  7. Exploiting linkage information in real-valued optimization with the real-valued gene-pool optimal mixing evolutionary algorithm

    Bouter, A., Witteveen, C., Alderliesten, T. & Bosman, P. 1 Jul 2017 GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference. p. 705-712 8 p.

    Research output: Scientific - peer-reviewConference contribution

  8. The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm

    Bouter, A., Luong, N. H., Witteveen, C., Alderliesten, T. & Bosman, P. 1 Jul 2017 GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference. p. 537-544 8 p.

    Research output: Scientific - peer-reviewConference contribution

  9. Dynamic Temporal Decoupling

    Mountakis, K. S., Klos, T. & Witteveen, C. 2017 Fourteenth International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming. Springer, (Lecture Notes in Computer Science)

    Research output: Scientific - peer-reviewConference contribution

  10. Newton Power Flow Methods for Unbalanced Three-Phase Distribution Networks

    Sereeter, B., Vuik, K. & Witteveen, C. 2017 In : Energies. 10, p. 1-20 20 p.

    Research output: Scientific - peer-reviewArticle

  11. Newton Power Flow Methods for Unbalanced Three-Phase Distribution Networks

    Sereeter, B., Vuik, C. & Witteveen, C. 2017 Delft: Delft University of Technology. 25 p. (Reports of the Delft Institute of Applied Mathematics; vol. 17-09)

    Research output: ProfessionalReport

  12. On a comparison of Newton-Raphson solvers for power flow problems

    Sereeter, B., Vuik, C. & Witteveen, C. 2017 Delft: Delft University of Technology. 20 p. (Reports of the Delft Institute of Applied Mathematics; vol. 17-07)

    Research output: ProfessionalReport

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