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

Jha, Rajesh, Sen, Prodip Kumar, Chakraborti, Nirupam. (2014). Multi-Objective Genetic Algorithms and Genetic Programming Models for Minimizing Input Carbon Rates in a Blast Furnace Compared with a Conventional Analytic Approach . 85(2), 219-232. 10.1002/srin.201300074

cited authors

  • Jha, Rajesh; Sen, Prodip Kumar; Chakraborti, Nirupam

sustainable development goals

authors

publication date

  • February 1, 2014

keywords

  • BioGP
  • Blast furnace
  • CO2 emission
  • EvoNN
  • FLOW
  • KIMEME
  • Metallurgy & Metallurgical Engineering
  • NETS
  • NEURAL-NETWORKS
  • OPTIMIZATION
  • PREDICTION
  • Science & Technology
  • Si in hot metal
  • Technology
  • artificial neural network
  • evolutionary algorithms
  • genetic algorithms
  • genetic programming
  • modeFRONTIER
  • multi-objective optimization
  • pareto front

Digital Object Identifier (DOI)

publisher

  • WILEY-V C H VERLAG GMBH

start page

  • 219

end page

  • 232

volume

  • 85

issue

  • 2