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

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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