Genetic Programming Evolved through Bi-Objective Genetic Algorithms Applied to a Blast Furnace

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@Article{Giri:2013:MMP,
  author =       "Brijesh Kumar Giri and Frank Pettersson and 
                 Henrik Saxen and Nirupam Chakraborti",
  title =        "Genetic Programming Evolved through Bi-Objective
                 Genetic Algorithms Applied to a Blast Furnace",
  journal =      "Materials and Manufacturing Processes",
  year =         "2013",
  volume =       "28",
  number =       "7",
  pages =        "776--782",
  note =         "Special Issue on Genetic Algorithms",
  keywords =     "genetic algorithms, genetic programming, BiOGP",
  DOI =          "doi:10.1080/10426914.2013.763953",
  size =         "7 pages",
  abstract =     "In this study, a new Bi-objective Genetic Programming
                 (BioGP) technique was developed that initially attempts
                 to minimise training error through a single objective
                 procedure and subsequently switches to bi-objective
                 evolution to work out a Pareto-trade-off between model
                 complexity and accuracy. For a set of highly noisy
                 industrial data from an operational iron making blast
                 furnace (BF) this method was pitted against an
                 Evolutionary Neural Network (EvoNN) developed earlier
                 by the authors. The BiOGP procedure was found to
                 produce very competitive results for this complex
                 modelling problem and because of its generic nature,
                 opens a new avenue for data-driven modeling in many
                 other domains.",
}

Genetic Programming entries for Brijesh Kumar Giri Frank Pettersson Henrik Saxen Nirupam Chakraborti

Citations