1. 2018
  2. 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

  3. 2017
  4. 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

  5. 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

  6. 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

  7. 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

  8. Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building block learning

    Virgolin, M., Alderliesten, T., Witteveen, C. & Bosman, P. A. N. 2017 p. 1041 1048 p.

    Research output: Other research outputOther

  9. 2016
  10. Optimising Flexibility for Simple Temporal Networks

    Witteveen, C. 2016 Proceedings of the 8th International Conference on Agents and Artificial Intelligence. Filipe, J. & van den Herik, J. (eds.). SciTePress, Vol. 2, p. 524-531 8 p.

    Research output: Scientific - peer-reviewConference contribution

  11. 2014
  12. Identification of promising Twin Hub networks: Report of Work Package 1 of the Intermodal rail freight Twin hub Network Northwest Europe - project

    Kreutzberger, E. D., Konings, J. W., Meijer, S., Witteveen, C., Meijers, B. M., Pekin, E., Macharis, C., Kiel, J., Kawabata, Y. & Vos, W. 2014 Delft: Twin Hub network. 128 p.

    Research output: ProfessionalReport

  13. Optimal decomposition in linear constraint systems

    Witteveen, C., Wilson, M. & Klos, T. B. 2014 Proceedings Twenty-Eighth AAAI Conference on Artificial Intelligence. Brodley, C. E. & Stone, P. (eds.). Palo Alto, CA , USA: American Association for Artificial Intelligence (AAAI), p. 2381-2387 7 p.

    Research output: Scientific - peer-reviewConference contribution

  14. 2013
  15. Flexibility and dcoupling in the simple temporal problem

    Wilson, M., Klos, T. B., Witteveen, C. & Huisman, B. 2013 Proceedings 23rd International Joint Conference on Artificial Intelligence. Rossi, F. (ed.). Palo Alto, CA, USA: AIAA Press, p. 2422-2428 7 p.

    Research output: Scientific - peer-reviewConference contribution

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