Multi-Objective Genetic Algorithms and Genetic Programming Models for Minimizing Input Carbon Rates in a Blast Furnace Compared with a Conventional Analytic Approach

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@Article{jha:2014:SRIN,
  author =       "Rajesh Jha and Prodip Kumar Sen and 
                 Nirupam Chakraborti",
  title =        "Multi-Objective Genetic Algorithms and Genetic
                 Programming Models for Minimizing Input Carbon Rates in
                 a Blast Furnace Compared with a Conventional Analytic
                 Approach",
  journal =      "Steel Research International",
  year =         "2014",
  volume =       "85",
  number =       "2",
  pages =        "219--232",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming, Blast
                 furnace, CO2 emission, Si in hot metal, evolutionary
                 algorithms, artificial neural network, multi-objective
                 optimisation, Pareto front, BioGP, EvoNN, modeFRONTIER,
                 KIMEME",
  ISSN =         "1869-344X",
  DOI =          "doi:10.1002/srin.201300074",
  size =         "14 pages",
  abstract =     "Data-driven models were constructed for the
                 Productivity, CO2 emission, and Si content for an
                 operational Blast furnace using evolutionary approaches
                 that involved two recent strategies based upon
                 bi-objective genetic Programming and neural nets
                 evolving through Genetic Algorithms. The models were
                 used to compute the optimum tradeoff between the level
                 of CO2 emission and productivity at different Si
                 levels, using a Predator-Prey Genetic Algorithm, well
                 tested for computing the Pareto-optimality. The results
                 were pitted against some similar calculations performed
                 with commercial software and also compared with the
                 results of thermodynamics-based analytical models.",
  notes =        "Department of Metallurgical and Materials Engineering,
                 Indian Institute of Technology, Kharagpur 721 302,
                 India.

                 Also known as \cite{SRIN:SRIN201300074}",
}

Genetic Programming entries for Rajesh Jha Prodip Kumar Sen Nirupam Chakraborti

Citations