Nirupam Chakraborti
Nirupam Chakraborti
Other namesN. Chakraborti
Visiting Professor Czech Technical University, Prague. Former Professor IIT, India
Verified email at
Cited by
Cited by
A genetic algorithms based multi-objective neural net applied to noisy blast furnace data
F Pettersson, N Chakraborti, H Saxén
Applied Soft Computing 7 (1), 387-397, 2007
Genetic algorithms in materials design and processing
N Chakraborti
International Materials Reviews 49 (3-4), 246-260, 2004
A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem
T Chugh, N Chakraborti, K Sindhya, Y Jin
Materials and Manufacturing Processes 32 (10), 1172-1178, 2017
Thermodynamics of roasting arsenopyrite
N Chakraborti, DC Lynch
Metallurgical Transactions B 14, 239-251, 1983
Real-world applications of multiobjective optimization
T Stewart, O Bandte, H Braun, N Chakraborti, M Ehrgott, M Göbelt, Y Jin, ...
Multiobjective optimization: interactive and evolutionary approaches, 285-327, 2008
Genetic programming through bi-objective genetic algorithms with a study of a simulated moving bed process involving multiple objectives
BK Giri, J Hakanen, K Miettinen, N Chakraborti
Applied Soft Computing 13 (5), 2613-2623, 2013
Cu―Zn separation by supported liquid membrane analyzed through Multi-objective Genetic Algorithms
DN Mondal, K Sarangi, F Pettersson, PK Sen, H Saxén, N Chakraborti
Hydrometallurgy 107 (3-4), 112-123, 2011
A study of the continuous casting mold using a pareto-converging genetic algorithm
N Chakraborti, R Kumar, D Jain
Applied Mathematical Modelling 25 (4), 287-297, 2001
Analyzing leaching data for low-grade manganese ore using neural nets and multiobjective genetic algorithms
F Pettersson, A Biswas, PK Sen, H Saxen, N Chakraborti
Materials and Manufacturing Processes 24 (3), 320-330, 2009
Genetic programming evolved through bi-objective genetic algorithms applied to a blast furnace
BK Giri, F Pettersson, H Saxén, N Chakraborti
Materials and Manufacturing Processes 28 (7), 776-782, 2013
Regulating crown and flatness during hot rolling: A multiobjective optimization study using genetic algorithms
R Nandan, R Rai, R Jayakanth, S Moitra, N Chakraborti, ...
Materials and Manufacturing Processes 20 (3), 459-478, 2005
Simulating recrystallization through cellular automata and genetic algorithms
R Dewri, N Chakraborti
Modelling and Simulation in Materials Science and Engineering 13 (2), 173, 2004
Genetic algorithms in optimization of strength and ductility of low-carbon steels
S Ganguly, S Datta, N Chakraborti
Materials and Manufacturing Processes 22 (5), 650-658, 2007
Designing high strength multi-phase steel for improved strength–ductility balance using neural networks and multi-objective genetic algorithms
S Datta, F Pettersson, S Ganguly, H Saxén, N Chakraborti
ISIJ international 47 (8), 1195-1203, 2007
Dynamic process modelling of iron ore sintering
NK Nath, AJ Da Silva, N Chakraborti
Steel Research 68 (7), 285-292, 1997
A new multi-objective genetic algorithm applied to hot-rolling process
N Chakraborti, BS Kumar, VS Babu, S Moitra, A Mukhopadhyay
Applied Mathematical Modelling 32 (9), 1781-1789, 2008
The Ti-WC (titanium-tungsten-carbon) system
B Haldar, D Bandyopadhyay, RC Sharma, N Chakraborti
Journal of phase equilibria 20, 337-343, 1999
Multi‐objective genetic algorithms and genetic programming models for minimizing input carbon rates in a blast furnace compared with a conventional analytic approach
R Jha, PK Sen, N Chakraborti
steel research international 85 (2), 219-232, 2014
Multiobjective optimization of top gas recycling conditions in the blast furnace by genetic algorithms
T Mitra, M Helle, F Pettersson, H Saxen, N Chakraborti
Materials and Manufacturing Processes 26 (3), 475-480, 2011
Analyzing Fe–Zn system using molecular dynamics, evolutionary neural nets and multi-objective genetic algorithms
B Bhattacharya, GRD Kumar, A Agarwal, Ş Erkoç, A Singh, N Chakraborti
Computational Materials Science 46 (4), 821-827, 2009
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