1. 2019
  2. Linear power flow method improved with numerical analysis techniques applied to a very large network

    Sereeter, B., van Westering, W., Vuik, C. & Witteveen, C., 2019, In : Energies. 12, 21, p. 1-15 15 p., 4078.

    Research output: Contribution to journalArticleScientificpeer-review

  3. On a comparison of Newton–Raphson solvers for power flow problems

    Sereeter, B., Vuik, C. & Witteveen, C., 2019, In : Journal of Computational and Applied Mathematics. 360, p. 157-169 13 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. 2018
  5. 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. New York, NY: Association for Computing Machinery (ACM), p. 1199-1206 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  6. 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: Contribution to journalArticleScientificpeer-review

  7. 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: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  8. 2017
  9. 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: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  10. 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: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  11. 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: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  12. 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: Book/ReportReportProfessional

  13. 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: Contribution to journalArticleScientificpeer-review

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