• Publications
  • Influence
A genetic algorithms based multi-objective neural net applied to noisy blast furnace data
A genetic algorithms based multi-objective optimization technique was utilized in the training process of a feed forward neural network, using noisy data from an industrial iron blast furnace, and several important trends were observed. Expand
  • 215
  • 8
Multi-objective optimization of a two-dimensional cutting problem using genetic algorithms
Abstract The work presented here describes a method of optimizing the layout of rectangular parts placed on a rectangular sheet to cut out various parts. Two types of cutting problems have beenExpand
  • 36
  • 5
Genetic programming through bi-objective genetic algorithms with a study of a simulated moving bed process involving multiple objectives
A new bi-objective genetic programming (BioGP) technique has been developed for meta-modeling and applied in a chromatographic separation process using a simulated moving bed (SMB) process. Expand
  • 74
  • 3
  • PDF
Thermodynamics of roasting arsenopyrite
Existing thermodynamic data for the Fe-As-S-0 system were evaluted and predominance area diagrams for that system were constructed at 798 and 973 K. Isopleths for the As/S and As/O atomic ratios inExpand
  • 39
  • 3
Dynamic process modelling of iron ore sintering
A mathematical model was developed for the iron ore sintering process considering all the major thermochemical phenomena in the system, assuming both the static and moving bed configurations. TheExpand
  • 40
  • 3
Genetic algorithms in materials design and processing
Abstract Genetic algorithms (GAs) are biologically inspired computing techniques, which tend to mimic the basic Darwinian concepts of natural selection. They are highly robust and efficient for mostExpand
  • 159
  • 2
Analysing blast furnace data using evolutionary neural network and multiobjective genetic algorithms
Abstract Approximately one year's operational data of a TATA Steel blast furnace were subjected to a multiobjective optimisation using genetic algorithms. Data driven models were constructed forExpand
  • 38
  • 2
A study of the continuous casting mold using a pareto-converging genetic algorithm
Abstract The mold region of the continuous caster, the most widely used casting device used by the steel industry has been modeled through a combination of a steady-state heat transfer approach and aExpand
  • 65
  • 2
Thermodynamic optimization of the Mg-Al-Si phase diagram
Abstract An optimized phase diagram for the ternary Mg-Al-Si system was constructed using experimental data from the literature. The binary excess terms were represented by Redlich-Kister polynomialExpand
  • 41
  • 2