An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms

Kit Yan Chan, Mehmet Emin Aydin, Terence C. Fogarty. An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms. In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2003, 8 - 12 December 2003, Canberra, Australia. pages 297-304, IEEE, 2003. [doi]

@inproceedings{ChanAF03:0,
  title = {An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms},
  author = {Kit Yan Chan and Mehmet Emin Aydin and Terence C. Fogarty},
  year = {2003},
  doi = {10.1109/CEC.2003.1299588},
  url = {http://dx.doi.org/10.1109/CEC.2003.1299588},
  tags = {rule-based, analysis, C++},
  researchr = {https://researchr.org/publication/ChanAF03%3A0},
  cites = {0},
  citedby = {0},
  pages = {297-304},
  booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2003, 8 - 12 December 2003, Canberra, Australia},
  publisher = {IEEE},
}