0031 6 1134 8920 jacqueline@heinerman.nl


  1. Haasdijk, E. and Heinerman, J. Quantifying Selection Pressure. In: Evolutionary Computation. MIT Press, 2017. p. 1-23. doi:10.1162/evco\_a\_00207, PDF
  2. Heinerman, J., Haasdijk, E. and Eiben, A.E. Unsupervised identification and recognition of situations for high-dimensional sensori-motor streams. In: Neurocomputing Special issue Online Real-Time Learning Strategies for Data Streams. Elsevier, 2017. p. 90-107. v. 262. http://dx.doi.org/10.1016/j.neucom.2017.02.090, PDF
  3. Heinerman J. et al. Is Social Learning More Than Parameter Tuning? Proceedings of the 19th annual conference on Genetic and evolutionary computation, 2017. PDF and Poster


  1. Heinerman, J., Zonta, A., Haasdijk, E. and Eiben, A. E. On-line Evolution of Foraging Behaviour in a Population of Real Robots. In: Applications of Evolutionary Computation. Springer International Publishing, 2016. p. 198-212. PDF Poster
  2. Hubert, J., Heinerman, J. and Haasdijk, E. Social Learning in DREAM. In: The First International Workshop of Social Learning and Cultural Evolution at ALIFE XV PDF
  3. Heinerman, J., Hubert, J., Haasdijk, E. and Eiben, A.E. Tutorial: Evolutionary robotics – a practical guide to experiment with real hardware. Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN 2016) SLIDES


  1. Heinerman, J., Rango, M., Eiben A.E. Evolution, Individual Learning, and Social Learning in a Swarm of Real Robots. In Evolvable Systems (ICES), 2015 IEEE International Conference on. IEEE. PDF (Received Best Student Paper Award, second place)
  2. Heinerman, J. Collective Sharing of Knowledge in a DREAM. Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference. ACM, 2015. PDF
  3. Heinerman J., Drupsteen D., Eiben A.E. Three-fold Adaptivity in Groups of Robots: The Effect of Social Learning. Proceedings of the 17th annual conference on Genetic and evolutionary computation, 2015. doi: 10.1145/2739480.2754743. PDF Video


  1. Weel, B., Crosato, E., Heinerman, J., Haasdijk, E., & Eiben, A. E. A robotic ecosystem with evolvable minds and bodies. In Evolvable Systems (ICES), 2014 IEEE International Conference on (pp. 165-172). IEEE. PDF


My name Jacqueline Heinerman, 2nd year PhD student in the field of Evolutionary Robotics at the VU University in Amsterdam. Evolutionary Robotics aims to evolve the controllers, the morphologies, or both, for real and/or simulated autonomous robots with use of Evolutionary Algorithms. 


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