Multiobjective dynamic optimization of an industrial nylon 6 semibatch reactor using genetic algorithm K Mitra, K Deb, SK Gupta Journal of Applied Polymer Science 69 (1), 69-87, 1998 | 164 | 1998 |
Multiobjective optimization of an industrial grinding operation using elitist nondominated sorting genetic algorithm K Mitra, R Gopinath Chemical Engineering Science 59 (2), 385-396, 2004 | 135 | 2004 |
Mathematical modeling and optimization of two-layer sintering process for sinter quality and fuel efficiency using genetic algorithm NK Nath, K Mitra Materials and manufacturing processes 20 (3), 335-349, 2005 | 97 | 2005 |
Genetic algorithms in polymeric material production, design, processing and other applications: a review K Mitra International Materials Reviews 53 (5), 275-297, 2008 | 89 | 2008 |
A novel hybrid optimization methodology to optimize the total number and placement of wind turbines P Mittal, K Kulkarni, K Mitra Renewable Energy 86, 133-147, 2016 | 88 | 2016 |
Towards a better understanding of the epoxy-polymerization process using multi-objective evolutionary computation K Deb, K Mitra, R Dewri, S Majumdar Chemical engineering science 59 (20), 4261-4277, 2004 | 86 | 2004 |
Comparative study of surrogate approaches while optimizing computationally expensive reaction networks SS Miriyala, P Mittal, S Majumdar, K Mitra Chemical Engineering Science 140, 44-61, 2016 | 84 | 2016 |
Multiobjective optimization of an industrial grinding operation under uncertainty K Mitra Chemical Engineering Science 64 (23), 5043-5056, 2009 | 83 | 2009 |
TRANSFORM-ANN for online optimization of complex industrial processes: Casting process as case study SS Miriyala, V Subramanian, K Mitra European Journal of Operational Research 264 (1), 294-309, 2018 | 82 | 2018 |
Towards resilient supply chains: Uncertainty analysis using fuzzy mathematical programming K Mitra, RD Gudi, SC Patwardhan, G Sardar Chemical Engineering Research and Design 87 (7), 967-981, 2009 | 82 | 2009 |
Sodium alginate and gelatin hydrogels: Viscosity effect on hydrophobic drug release U Bhutani, A Laha, K Mitra, S Majumdar Materials Letters 164, 76-79, 2016 | 78 | 2016 |
Data science approaches for electrochemical engineers: an introduction through surrogate model development for lithium-ion batteries N Dawson-Elli, SB Lee, M Pathak, K Mitra, VR Subramanian Journal of The Electrochemical Society 165 (2), A1, 2018 | 70 | 2018 |
KERNEL: Enabler to build smart surrogates for online optimization and knowledge discovery PD Pantula, SS Miriyala, K Mitra Materials and Manufacturing Processes 32 (10), 1162-1171, 2017 | 69 | 2017 |
Estimation of interfacial tension for immiscible and partially miscible liquid systems by Dissipative Particle Dynamics K Mitra, H Goel, PR Chandran, S Majumdar, P Ray Elsevier, 2014 | 60* | 2014 |
Multi-objective optimization of iron ore induration process using optimal neural networks SS Miriyala, K Mitra Materials and Manufacturing Processes 35 (5), 537-544, 2020 | 59 | 2020 |
Kriging Surrogate Based Multi-objective Optimization of Bulk Vinyl Acetate Polymerization with Branching A Mogilicharla, P Mittal, S Majumdar, K Mitra Materials and Manufacturing Processes 30 (4), 394-402, 2015 | 59 | 2015 |
Multiobjective dynamic optimization of a semi-batch epoxy polymerization process K Mitra, S Majumdar, S Raha Computers & chemical engineering 28 (12), 2583-2594, 2004 | 56 | 2004 |
Recurrent neural networks based modelling of industrial grinding operation RK Inapakurthi, SS Miriyala, K Mitra Chemical Engineering Science 219, 115585, 2020 | 55 | 2020 |
Midterm Supply Chain Planning under Uncertainty: A Multiobjective Chance Constrained Programming Framework† K Mitra, RD Gudi, SC Patwardhan, G Sardar Industrial & Engineering Chemistry Research 47 (15), 5501-5511, 2008 | 54 | 2008 |
Optimisation of suction pressure for iron ore sintering by genetic algorithm NK Nath, K Mitra Ironmaking & steelmaking 31 (3), 199-206, 2004 | 50 | 2004 |