| An introduction to neural network methods for differential equations N Yadav, A Yadav, M Kumar SpringerBriefs in Applied Sciences and Technology, 2015 | 394 | 2015 |
| AEFA: Artificial electric field algorithm for global optimization A Yadav Swarm and Evolutionary Computation 48, 93-108, 2019 | 310 | 2019 |
| A dynamic metaheuristic optimization model inspired by biological nervous systems: Neural network algorithm A Sadollah, H Sayyaadi, A Yadav Applied Soft Computing 71, 747-782, 2018 | 265 | 2018 |
| Artificial electric field algorithm for engineering optimization problems A Yadav, N Kumar Expert Systems with Applications 149, 113308, 2020 | 92 | 2020 |
| An efficient algorithm based on artificial neural networks and particle swarm optimization for solution of nonlinear Troesch’s problem N Yadav, A Yadav, M Kumar, JH Kim Neural Computing and Applications 28, 171-178, 2017 | 55 | 2017 |
| An efficient co-swarm particle swarm optimization for non-linear constrained optimization A Yadav, K Deep Journal of Computational Science 5 (2), 258-268, 2014 | 46 | 2014 |
| History of neural networks N Yadav, A Yadav, M Kumar, N Yadav, A Yadav, M Kumar An introduction to neural network methods for differential equations, 13-15, 2015 | 35 | 2015 |
| Discrete artificial electric field algorithm for high-order graph matching A Yadav Applied Soft Computing 92, 106260, 2020 | 34 | 2020 |
| Gravitational swarm optimizer for global optimization A Yadav, K Deep, JH Kim, AK Nagar Swarm and Evolutionary Computation 31, 64-89, 2016 | 33 | 2016 |
| Numerical solution of unsteady advection dispersion equation arising in contaminant transport through porous media using neural networks N Yadav, A Yadav, JH Kim Computers & Mathematics with Applications 72 (4), 1021-1030, 2016 | 27 | 2016 |
| Constrained optimization using gravitational search algorithm A Yadav, K Deep National Academy Science Letters 36, 527-534, 2013 | 25 | 2013 |
| An intelligent model for the detection of white blood cells using artificial intelligence A Yadav Computer methods and programs in biomedicine 199, 105893, 2021 | 24 | 2021 |
| Comprehensive learning gravitational search algorithm for global optimization of multimodal functions A Yadav Neural Computing and Applications, 1-36, 2019 | 22 | 2019 |
| Optimizing the parameters of hybrid active power filters through a comprehensive and dynamic multi-swarm gravitational search algorithm D Chauhan, A Yadav Engineering Applications of Artificial Intelligence 123, 106469, 2023 | 21 | 2023 |
| Shrinking hypersphere based trajectory of particles in PSO A Yadav, K Deep Applied Mathematics and Computation 220, 246-267, 2013 | 19 | 2013 |
| An adaptive artificial electric field algorithm for continuous optimization problems D Chauhan, A Yadav Expert Systems, e13380, 2023 | 17 | 2023 |
| A multi-agent optimization algorithm and its application to training multilayer perceptron models D Chauhan, A Yadav, F Neri Evolving Systems 15 (3), 849-879, 2024 | 15 | 2024 |
| An archive-based self-adaptive artificial electric field algorithm with orthogonal initialization for real-parameter optimization problems D Chauhan, A Yadav Applied Soft Computing 150, 111109, 2024 | 15 | 2024 |
| Gravitational search algorithm: a state-of-the-art review I Bala, A Yadav Harmony Search and Nature Inspired Optimization Algorithms: Theory and …, 2019 | 15 | 2019 |
| Harmony Search and Nature Inspired Optimization Algorithms: Theory and Applications, ICHSA 2018 N Yadav, A Yadav, JC Bansal, K Deep, JH Kim Springer, 2018 | 15 | 2018 |
Kusum DeepProfessor, Department of Mathematics, Indian Institute of Technology RoorkeeПотвърден имейл адрес: iitr.ernet.in