A Genetic Programming Approach for Evolving Highly-Competitive General Algorithms for Envelope Reduction in Sparse Matrices

Behrooz Koohestani, Riccardo Poli. A Genetic Programming Approach for Evolving Highly-Competitive General Algorithms for Envelope Reduction in Sparse Matrices. In Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone, editors, Parallel Problem Solving from Nature - PPSN XII - 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II. Volume 7492 of Lecture Notes in Computer Science, pages 287-296, Springer, 2012. [doi]

@inproceedings{KoohestaniP12,
  title = {A Genetic Programming Approach for Evolving Highly-Competitive General Algorithms for Envelope Reduction in Sparse Matrices},
  author = {Behrooz Koohestani and Riccardo Poli},
  year = {2012},
  doi = {10.1007/978-3-642-32964-7_29},
  url = {http://dx.doi.org/10.1007/978-3-642-32964-7_29},
  researchr = {https://researchr.org/publication/KoohestaniP12},
  cites = {0},
  citedby = {0},
  pages = {287-296},
  booktitle = {Parallel Problem Solving from Nature - PPSN XII - 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II},
  editor = {Carlos A. Coello Coello and Vincenzo Cutello and Kalyanmoy Deb and Stephanie Forrest and Giuseppe Nicosia and Mario Pavone},
  volume = {7492},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-32963-0},
}