José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos. A Supervised Learning Approach to Construct Hyper-heuristics for Constraint Satisfaction. In Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, Joaquín Salas Rodríguez, Gabriella Sanniti di Baja, editors, Pattern Recognition - 5th Mexican Conference, MCPR 2013, Querétaro, Mexico, June 26-29, 2013. Proceedings. Volume 7914 of Lecture Notes in Computer Science, pages 284-293, Springer, 2013. [doi]
@inproceedings{Ortiz-BaylissTC13-1,
title = {A Supervised Learning Approach to Construct Hyper-heuristics for Constraint Satisfaction},
author = {José Carlos Ortiz-Bayliss and Hugo Terashima-Marín and Santiago Enrique Conant-Pablos},
year = {2013},
doi = {10.1007/978-3-642-38989-4_29},
url = {http://dx.doi.org/10.1007/978-3-642-38989-4_29},
researchr = {https://researchr.org/publication/Ortiz-BaylissTC13-1},
cites = {0},
citedby = {0},
pages = {284-293},
booktitle = {Pattern Recognition - 5th Mexican Conference, MCPR 2013, Querétaro, Mexico, June 26-29, 2013. Proceedings},
editor = {Jesús Ariel Carrasco-Ochoa and José Francisco Martínez Trinidad and Joaquín Salas Rodríguez and Gabriella Sanniti di Baja},
volume = {7914},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-642-38988-7},
}