| Machine learning derived quantitative structure property relationship (QSPR) to predict drug solubility in binary solvent systems S Chinta, R Rengaswamy Industrial & Engineering Chemistry Research 58 (8), 3082-3092, 2019 | 44 | 2019 |
| Integration of machine learning and first principles models L Rajulapati, S Chinta, B Shyamala, R Rengaswamy AIChE Journal 68 (6), e17715, 2022 | 28 | 2022 |
| A note on multi-objective improved teaching–learning based optimization algorithm (MO-ITLBO) S Chinta, R Kommadath, P Kotecha Information Sciences 373, 337-350, 2016 | 25 | 2016 |
| A novel strategy for the combinatorial production planning problem using integer variables and performance evaluation of recent optimization algorithms SS Chauhan, C Sivadurgaprasad, R Kadambur, P Kotecha Swarm and Evolutionary Computation 43, 225-243, 2018 | 15 | 2018 |
| Parallel computing strategies for Sanitized Teaching Learning Based Optimization R Kommadath, D Maharana, C Sivadurgaprasad, P Kotecha Journal of Computational Science 63, 101766, 2022 | 14 | 2022 |
| Single phase multi-group teaching learning algorithm for single objective real-parameter numerical optimization (CEC2016) R Kommadath, C Sivadurgaprasad, P Kotecha 2016 IEEE Congress on Evolutionary Computation (CEC), 1165-1172, 2016 | 11 | 2016 |
| Single phase multi-group teaching learning algorithm for computationally expensive numerical optimization (CEC 2016) R Kommadath, C Sivadurgaprasad, P Kotecha 2016 IEEE Congress on Evolutionary Computation (CEC), 2989-2995, 2016 | 9 | 2016 |
| Multi-objective Optimal Integration of Biorefineries using NSGA-II and MOGWO V Punnathanam, C Sivadurgaprasad, P Kotecha 2016 International Conference on Electrical, Electronics, and Optimization …, 2016 | 9 | 2016 |
| Prediction error-based clustering approach for multiple-model learning using statistical testing S Chinta, A Sivaram, R Rengaswamy Engineering Applications of Artificial Intelligence 77, 125-135, 2019 | 8 | 2019 |
| On the performance of MATLAB's inbuilt genetic algorithm on single and multi-objective unconstrained optimization problems V Punnathanam, C Sivadurgaprasad, P Kotecha 2016 International Conference on Electrical, Electronics, and Optimization …, 2016 | 8 | 2016 |
| Incorporating prior knowledge about structural constraints in model identification D Maurya, S Chinta, A Sivaram, R Rengaswamy arXiv preprint arXiv:2007.04030, 2020 | 2 | 2020 |
| Systems Approaches to Predict the Aqueous Solubility of Quinone Molecules for Flow Battery Applications S Chinta, R Rengaswamy 2018 AIChE Annual Meeting, 2018 | | 2018 |
Raghunathan RengaswamyProfessor of Chemical Engineering, IIT MadrasVerified email at iitm.ac.in
