Hybridizing surrogate techniques, rough sets and evolutionary algorithms to efficiently solve multi-objective optimization problems. Santana-Quintero, L. V., Coello Coello, C. A., & García Hernández-Díaz, A. In Proceedings of Genetic and Evolutionary Computation Conference (GECCO), pages 763-764, 2008.
Hybridizing surrogate techniques, rough sets and evolutionary algorithms to efficiently solve multi-objective optimization problems [link]Paper  bibtex   
@inproceedings{ dblp3423344,
  title = {Hybridizing surrogate techniques, rough sets and evolutionary algorithms to efficiently solve multi-objective optimization problems},
  author = {Luis V. Santana-Quintero and Carlos A. Coello Coello and Alfredo García Hernández-Díaz},
  author_short = {Santana-Quintero, L. V. and Coello Coello, C. A. and García Hernández-Díaz, A.},
  bibtype = {inproceedings},
  type = {inproceedings},
  year = {2008},
  key = {dblp3423344},
  id = {dblp3423344},
  biburl = {http://www.dblp.org/rec/bibtex/conf/gecco/Santana-QuinteroCH08},
  url = {http://doi.acm.org/10.1145/1389095.1389244},
  conference = {GECCO},
  pages = {763-764},
  text = {GECCO 2008:763-764},
  booktitle = {Proceedings of Genetic and Evolutionary Computation Conference (GECCO)}
}

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