Papers

  • Stefan Haflidason and Richard Neville Quantifying the Severity of the Permutation Problem in Neuroevolution, In Proceedings of the Fourth International Workshop on Natural Computing (IWNC), pages 149-156, 2009.
  • Stefan Haflidason and Richard Neville On the Significance of the Permutation Problem in Neuroevolution, In Proceedings of the 11th Annual conference on Genetic and Evolutionary Computation (GECCO), pages 787-794, 2009. Nominated for Best Paper in the Genetic Algorithms track.
  • Stefan Haflidason and Richard Neville “A Case for Crossover in Neuroevolution”, In Proceedings of the Workshop and Summer School on Evolutionary Computing, Lecture Series by Pioneers (WSSEC), 2008.

PhD Thesis

My research was in the application of Evolutionary Algorithms to the training of Neural Networks, in particular a problem which may (or may not) affect the performance of your evolutionary algorithm. The significance of this problem had not been investigated in depth and so I chose to make it the topic of my research.

You can download it here: On the Significance of the Permutation Problem in Neuroevolution