A Supervised Learning Approach to Construct Hyper-heuristics for Constraint Satisfaction - researchr publication authors

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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]

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