| A novel random walk grey wolf optimizer S Gupta, K Deep Swarm and evolutionary computation 44, 101-112, 2019 | 438 | 2019 |
| A hybrid self-adaptive sine cosine algorithm with opposition based learning S Gupta, K Deep Expert systems with applications 119, 210-230, 2019 | 292 | 2019 |
| Improved sine cosine algorithm with crossover scheme for global optimization S Gupta, K Deep Knowledge-Based Systems 165, 374-406, 2019 | 198 | 2019 |
| A memory-based grey wolf optimizer for global optimization tasks S Gupta, K Deep Applied Soft Computing 93, 106367, 2020 | 159 | 2020 |
| Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems S Gupta, H Abderazek, BS Yıldız, AR Yildiz, S Mirjalili, SM Sait Expert Systems with Applications 183, 115351, 2021 | 142 | 2021 |
| An aggregative learning gravitational search algorithm with self-adaptive gravitational constants Z Lei, S Gao, S Gupta, J Cheng, G Yang Expert Systems with Applications 152, 113396, 2020 | 125 | 2020 |
| A modified sine cosine algorithm with novel transition parameter and mutation operator for global optimization S Gupta, K Deep, S Mirjalili, JH Kim Expert Systems with Applications 154, 113395, 2020 | 123 | 2020 |
| An efficient equilibrium optimizer with mutation strategy for numerical optimization S Gupta, K Deep, S Mirjalili Applied Soft Computing 96, 106542, 2020 | 110 | 2020 |
| Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis S Gupta, K Deep, AA Heidari, H Moayedi, M Wang Expert Systems with Applications 158, 113510, 2020 | 109 | 2020 |
| Sine cosine grey wolf optimizer to solve engineering design problems S Gupta, K Deep, H Moayedi, LK Foong, A Assad Engineering with Computers 37, 3123-3149, 2021 | 103 | 2021 |
| Harmonized salp chain-built optimization S Gupta, K Deep, AA Heidari, H Moayedi, H Chen Engineering with Computers 37, 1049-1079, 2021 | 100 | 2021 |
| A memory guided sine cosine algorithm for global optimization S Gupta, K Deep, AP Engelbrecht Engineering Applications of Artificial Intelligence 93, 103718, 2020 | 92 | 2020 |
| A novel hybrid sine cosine algorithm for global optimization and its application to train multilayer perceptrons S Gupta, K Deep Applied Intelligence 50 (4), 993-1026, 2020 | 86 | 2020 |
| Enhanced leadership-inspired grey wolf optimizer for global optimization problems S Gupta, K Deep Engineering with Computers 36, 1777-1800, 2020 | 78 | 2020 |
| Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine N Kardani, A Bardhan, S Gupta, P Samui, M Nazem, Y Zhang, A Zhou Acta Geotechnica, 1-17, 2021 | 76 | 2021 |
| Hybrid sine cosine artificial bee colony algorithm for global optimization and image segmentation S Gupta, K Deep Neural Computing and Applications 32, 9521-9543, 2020 | 72 | 2020 |
| An opposition-based chaotic grey wolf optimizer for global optimisation tasks S Gupta, K Deep Journal of Experimental & Theoretical Artificial Intelligence 31 (5), 751-779, 2019 | 55 | 2019 |
| Cauchy grey wolf optimiser for continuous optimisation problems S Gupta, K Deep Journal of Experimental & Theoretical Artificial Intelligence 30 (6), 1051-1075, 2018 | 39 | 2018 |
| An efficient differential evolution with fitness-based dynamic mutation strategy and control parameters S Gupta, R Su Knowledge-Based Systems 251, 109280, 2022 | 38 | 2022 |
| A novel integrated approach of ELM and modified equilibrium optimizer for predicting soil compression index of subgrade layer of Dedicated Freight Corridor A Bardhan, A GuhaRay, S Gupta, B Pradhan, C Gokceoglu Transportation Geotechnics 32, 100678, 2022 | 38 | 2022 |
Kusum DeepProfessor, Department of Mathematics, Indian Institute of Technology RoorkeeПотвърден имейл адрес: iitr.ernet.in