Evolving and Reusing Bin Packing Heuristic through Grammatical Differential Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@InProceedings{Sotelo-Figueroa:2013:nabic,
  author =       "Marco A. Sotelo-Figueroa and 
                 Hector Jose {Puga Soberanes} and Juan {Martin Carpio} and 
                 Hector J. {Fraire Huacuja} and Laura {Cruz Reyes} and 
                 Jorge A. Soria-Alcaraz",
  title =        "Evolving and Reusing Bin Packing Heuristic through
                 Grammatical Differential Evolution",
  booktitle =    "5th World Congress on Nature and Biologically Inspired
                 Computing",
  year =         "2013",
  editor =       "Simone Ludwig and Patricia Melin and Ajith Abraham and 
                 Ana Maria Madureira and Kendall Nygard and 
                 Oscar Castillo and Azah Kamilah Muda and Kun Ma and 
                 Emilio Corchado",
  pages =        "92--98",
  address =      "Fargo, USA",
  month =        "12-14 " # aug,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 Evolution, Bin Packing, Grammatical Differential
                 Evolution, Heuristics, Differential Evolution,
                 Best-Fit",
  isbn13 =       "978-1-4799-1415-9",
  URL =          "http://www.mirlabs.net/nabic13/proceedings/html/paper24.xml",
  DOI =          "doi:10.1109/NaBIC.2013.6617844",
  size =         "7 pages",
  abstract =     "The Bin Packing Problem is a classic optimisation
                 problem, over the years many heuristics have been
                 developed to obtain better results. There are many
                 approaches to generating heuristics automatically,
                 those approaches are based Genetic Programming, but the
                 heuristics generated sometimes can not be applied to
                 the problem. Recently in the Artificial Intelligence
                 field, the Grammar Evolution approach emerged, which
                 generated expressions like the generated by Genetic
                 Programming; these algorithms evolve into a grammar
                 based on the Backus Naur Form. In the present work we
                 show a Grammar Evolution based on Differential
                 Evolution, which automatically generated heuristics for
                 the Bin Packing Problem instances. Those heuristics
                 generated by the Grammar Evolution are like the
                 Best-Fit heuristic which was designed by humans. The
                 work's goal is to prove that is feasible to use the
                 Grammar Evolution to automatically generate and reusing
                 heuristics which have at least the same performance
                 than the best generated by humans, we also propose a
                 Grammar to improve the results obtained for a Grammar
                 based on Genetic Programming.",
  notes =        "USB, IEEE Catalog Number: CFP1395H-POD",
  notes =        "Also known as \cite{6617844}",
}

Genetic Programming entries for Marco Aurelio Sotelo Figueroa Hector J Puga Juan Martin Carpio Hector Joaquin Fraire Huacuja Laura Cruz Jorge Alberto Soria-Alcaraz

Citations