Entropy and mutual information can improve fitness evaluation in coevolution of neural networks

Boye Annfelt Høverstad, Haaken A. Moe, Min Shi. Entropy and mutual information can improve fitness evaluation in coevolution of neural networks. In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2009, Trondheim, Norway, 18-21 May, 2009. pages 3199-3206, IEEE, 2009. [doi]

@inproceedings{HoverstadMS09,
  title = {Entropy and mutual information can improve fitness evaluation in coevolution of neural networks},
  author = {Boye Annfelt Høverstad and Haaken A. Moe and Min Shi},
  year = {2009},
  doi = {10.1109/CEC.2009.4983349},
  url = {http://dx.doi.org/10.1109/CEC.2009.4983349},
  researchr = {https://researchr.org/publication/HoverstadMS09},
  cites = {0},
  citedby = {0},
  pages = {3199-3206},
  booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2009, Trondheim, Norway, 18-21 May, 2009},
  publisher = {IEEE},
}