| Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm D Oliva, S Hinojosa, E Cuevas, G Pajares, O Avalos, J Gálvez Expert Systems with Applications 79, 164-180, 2017 | 201 | 2017 |
| Histogram equalization variants as optimization problems: a review KG Dhal, A Das, S Ray, J Gálvez, S Das Archives of Computational Methods in Engineering 28, 1471-1496, 2021 | 154 | 2021 |
| An improved crow search algorithm applied to energy problems P Díaz, M Pérez-Cisneros, E Cuevas, O Avalos, J Gálvez, S Hinojosa, ... Energies 11 (3), 571, 2018 | 114 | 2018 |
| Nature-inspired optimization algorithms and their application in multi-thresholding image segmentation KG Dhal, A Das, S Ray, J Gálvez, S Das Archives of Computational Methods in Engineering 27 (3), 855-888, 2020 | 109 | 2020 |
| A comparison of evolutionary computation techniques for IIR model identification E Cuevas, J Gálvez, S Hinojosa, O Avalos, D Zaldívar, M Pérez-Cisneros Journal of Applied Mathematics 2014 (1), 827206, 2014 | 66 | 2014 |
| Randomly attracted rough firefly algorithm for histogram based fuzzy image clustering KG Dhal, A Das, S Ray, J Gálvez Knowledge-Based Systems 216, 106814, 2021 | 65 | 2021 |
| Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm S Hinojosa, D Oliva, E Cuevas, G Pajares, O Avalos, J Gálvez Neural Computing and Applications 29, 319-335, 2018 | 63 | 2018 |
| Acute lymphoblastic leukemia image segmentation driven by stochastic fractal search KG Dhal, J Gálvez, S Ray, A Das, S Das Multimedia Tools and Applications 79 (17), 12227-12255, 2020 | 58 | 2020 |
| A new metaheuristic optimization methodology based on fuzzy logic MA Díaz-Cortés, E Cuevas, J Gálvez, O Camarena Applied Soft Computing 61, 549-569, 2017 | 37 | 2017 |
| El pase de visita docente asistencial AA Rodríguez, JLG Gálvez Medimay 6 (2), 123-126, 2000 | 37 | 2000 |
| Flower pollination algorithm for multimodal optimization J Gálvez, E Cuevas, O Avalos International Journal of Computational Intelligence Systems 10 (1), 627-646, 2017 | 36 | 2017 |
| A hybrid optimization approach based on clustering and chaotic sequences J Gálvez, E Cuevas, H Becerra, O Avalos International Journal of Machine Learning and Cybernetics 11 (2), 359-401, 2020 | 31 | 2020 |
| Cauchy with whale optimizer based eagle strategy for multi-level color hematology image segmentation S Ray, A Das, KG Dhal, J Gálvez, PK Naskar Neural Computing and Applications 33 (11), 5917-5949, 2021 | 29 | 2021 |
| An overview on nature-inspired optimization algorithms and their possible application in image processing domain KG Dhal, A Das, J Gálvez, S Ray, S Das Pattern Recognition and Image Analysis 30, 614-631, 2020 | 29 | 2020 |
| Paddy disease classification study: a deep convolutional neural network approach M Deb, KG Dhal, R Mondal, J Gálvez Optical memory and neural networks 30, 338-357, 2021 | 27 | 2021 |
| Toward the modification of flower pollination algorithm in clustering-based image segmentation KG Dhal, J Gálvez, S Das Neural Computing and Applications 32 (8), 3059-3077, 2020 | 27 | 2020 |
| Induction motor parameter identification using a gravitational search algorithm O Avalos, E Cuevas, J Gálvez Computers 5 (2), 6, 2016 | 26 | 2016 |
| Histogram-based fast and robust image clustering using stochastic fractal search and morphological reconstruction A Das, KG Dhal, S Ray, J Gálvez Neural Computing and Applications 34 (6), 4531-4554, 2022 | 21 | 2022 |
| An optimization algorithm guided by a machine learning approach E Cuevas, J Galvez International Journal of Machine Learning and Cybernetics 10 (11), 2963-2991, 2019 | 21 | 2019 |
| Unassisted thresholding based on multi-objective evolutionary algorithms S Hinojosa, O Avalos, D Oliva, E Cuevas, G Pajares, D Zaldivar, J Gálvez Knowledge-Based Systems 159, 221-232, 2018 | 21 | 2018 |