The following publications are possibly variants of this publication:
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- Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problemsHugo Terashima-Marín, José C. Ortiz-Bayliss, Peter Ross, Manuel Valenzuela-Rendón. gecco 2008: 571-578 [doi]
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- A Supervised Learning Approach to Construct Hyper-heuristics for Constraint SatisfactionJosé Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos. mcpr2 2013: 284-293 [doi]
- Neural Networks to Guide the Selection of Heuristics within Constraint Satisfaction ProblemsJosé Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago E. Conant-Pablos. mcpr2 2011: 250-259 [doi]
- Grammar-based generation of variable-selection heuristics for constraint satisfaction problemsAlejandro Sosa-Ascencio, Gabriela Ochoa, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos. gpem, 17(2):119-144, 2016. [doi]
- A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problemsJosé Carlos Ortiz-Bayliss, Hugo Terashima-MarÃn, Peter Ross, Jorge Iván Fuentes-Rosado, Manuel Valenzuela-Rendón. gecco 2009: 1811-1812 [doi]