| An introduction to neural network methods for differential equations N Yadav, A Yadav, M Kumar Springer 1, 7, 2015 | 320 | 2015 |
| AEFA: Artificial electric field algorithm for global optimization A Yadav Swarm and Evolutionary Computation 48, 93-108, 2019 | 209 | 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 | 191 | 2018 |
| Artificial electric field algorithm for engineering optimization problems A Yadav, N Kumar Expert Systems with Applications 149, 113308, 2020 | 66 | 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 | 52 | 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 | 40 | 2014 |
| Gravitational swarm optimizer for global optimization A Yadav, K Deep, JH Kim, AK Nagar Swarm and Evolutionary Computation 31, 64-89, 2016 | 32 | 2016 |
| 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 | 28 | 2015 |
| 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 | 25 | 2016 |
| Constrained optimization using gravitational search algorithm A Yadav, K Deep National Academy Science Letters 36, 527-534, 2013 | 22 | 2013 |
| Discrete artificial electric field algorithm for high-order graph matching A Yadav Applied Soft Computing 92, 106260, 2020 | 18 | 2020 |
| Comprehensive learning gravitational search algorithm for global optimization of multimodal functions A Yadav Neural Computing and Applications, 1-36, 2019 | 18 | 2019 |
| Shrinking hypersphere based trajectory of particles in PSO A Yadav, K Deep Applied Mathematics and Computation 220, 246-267, 2013 | 18 | 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 | 14 | 2021 |
| Gravitational search algorithm: A state-of-the-art review I Bala, A Yadav Harmony Search and Nature Inspired Optimization Algorithms: Theory and …, 2019 | 14 | 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 | 11 | 2018 |
| A study of harmony search algorithms: Exploration and convergence ability A Yadav, N Yadav, JH Kim Harmony Search Algorithm: Proceedings of the 2nd International Conference on …, 2016 | 11 | 2016 |
| Stability and iterative convergence of water cycle algorithm for computationally expensive and combinatorial Internet shopping optimisation problems H Sayyaadi, A Sadollah, A Yadav, N Yadav Journal of Experimental & Theoretical Artificial Intelligence 31 (5), 701-721, 2019 | 10 | 2019 |
| Self-adaptive global mine blast algorithm for numerical optimization A Yadav, A Sadollah, N Yadav, JH Kim Neural Computing and Applications 32, 2423-2444, 2020 | 9 | 2020 |
| Improving local and regional earthquake locations using an advance inversion technique: Particle swarm optimization K Deep, A Yadav, S Kumar World Journal of Modelling and Simulation 8 (2), 135-141, 2012 | 8 | 2012 |
Kusum DeepProfessor, Department of Mathematics, Indian Institute of Technology RoorkeeGeverifieerd e-mailadres voor iitr.ernet.in
