A Hyper-Heuristic Approach to Evolving Algorithms for Bandwidth Reduction Based on Genetic Programming

Behrooz Koohestani, Riccardo Poli. A Hyper-Heuristic Approach to Evolving Algorithms for Bandwidth Reduction Based on Genetic Programming. In Max Bramer, Miltos Petridis, Lars Nolle, editors, Research and Development in Intelligent Systems XXVIII - Incorporating Applications and Innovations in Intelligent Systems XIX Proceedings of AI-2011, the Thirty-first SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 2011. pages 93-106, Springer, 2011. [doi]

@inproceedings{KoohestaniP11,
  title = {A Hyper-Heuristic Approach to Evolving Algorithms for Bandwidth Reduction Based on Genetic Programming},
  author = {Behrooz Koohestani and Riccardo Poli},
  year = {2011},
  doi = {10.1007/978-1-4471-2318-7_7},
  url = {http://dx.doi.org/10.1007/978-1-4471-2318-7_7},
  researchr = {https://researchr.org/publication/KoohestaniP11},
  cites = {0},
  citedby = {0},
  pages = {93-106},
  booktitle = {Research and Development in Intelligent Systems XXVIII - Incorporating Applications and Innovations in Intelligent Systems XIX Proceedings of AI-2011, the Thirty-first SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 2011},
  editor = {Max Bramer and Miltos Petridis and Lars Nolle},
  publisher = {Springer},
  isbn = {978-1-4471-2317-0},
}