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A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems.

José Carlos Ortiz-BaylissHugo Terashima-MarínPeter RossJorge Iván Fuentes-RosadoManuel Valenzuela-Rendón
Published in: GECCO (2009)
Keyphrases
  • variable ordering
  • condition action rules
  • special case
  • hyper heuristics
  • genetic algorithm
  • genetic programming
  • neural network
  • machine learning
  • data structure
  • evolutionary algorithm
  • upper bound