Using learning classifier systems to design selective hyper-heuristics for constraint satisfaction problems

José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago E. Conant-Pablos. Using learning classifier systems to design selective hyper-heuristics for constraint satisfaction problems. In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2013, Cancun, Mexico, June 20-23, 2013. pages 2618-2625, IEEE, 2013. [doi]

@inproceedings{Ortiz-BaylissTC13-2,
  title = {Using learning classifier systems to design selective hyper-heuristics for constraint satisfaction problems},
  author = {José Carlos Ortiz-Bayliss and Hugo Terashima-Marín and Santiago E. Conant-Pablos},
  year = {2013},
  doi = {10.1109/CEC.2013.6557885},
  url = {http://dx.doi.org/10.1109/CEC.2013.6557885},
  researchr = {https://researchr.org/publication/Ortiz-BaylissTC13-2},
  cites = {0},
  citedby = {0},
  pages = {2618-2625},
  booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2013, Cancun, Mexico, June 20-23, 2013},
  publisher = {IEEE},
  isbn = {978-1-4799-0453-2},
}