| A swarm optimization algorithm inspired in the behavior of the social-spider E Cuevas, M Cienfuegos, D Zaldívar, M Pérez-Cisneros Expert Systems with Applications 40 (16), 6374-6384, 2013 | 437 | 2013 |
| Parameter identification of solar cells using artificial bee colony optimization D Oliva, E Cuevas, G Pajares Energy 72, 93-102, 2014 | 257 | 2014 |
| Kalman filter for vision tracking EV Cuevas, D Zaldivar, R Rojas | 200 | 2005 |
| A comparison of nature inspired algorithms for multi-threshold image segmentation E Cuevas, H Sossa Expert Systems with Applications 40 (4), 1213-1219, 2013 | 164 | 2013 |
| Multilevel thresholding segmentation based on harmony search optimization D Oliva, E Cuevas, G Pajares, D Zaldivar, M Perez-Cisneros Journal of Applied Mathematics 2013, 2013 | 141 | 2013 |
| A multilevel thresholding algorithm using electromagnetism optimization D Oliva, E Cuevas, G Pajares, D Zaldivar, V Osuna Neurocomputing 139, 357-381, 2014 | 140 | 2014 |
| An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation E Cuevas, A Echavarría, MA Ramírez-Ortegón Applied intelligence 40 (2), 256-272, 2014 | 138 | 2014 |
| A novel multi-threshold segmentation approach based on differential evolution optimization E Cuevas, D Zaldivar, M Pérez-Cisneros Expert Systems with Applications 37 (7), 5265-5271, 2010 | 135 | 2010 |
| 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 | 133 | 2017 |
| A new algorithm inspired in the behavior of the social-spider for constrained optimization E Cuevas, M Cienfuegos Expert Systems with Applications 41 (2), 412-425, 2014 | 129 | 2014 |
| An agent-based model to evaluate the COVID-19 transmission risks in facilities E Cuevas Computers in biology and medicine 121, 103827, 2020 | 124 | 2020 |
| Procesamiento digital de imágenes con MATLAB & Simulink E Cuevas, D Zaldívar, M Pérez Ra-Ma, 2016 | 123 | 2016 |
| Circle detection using electro-magnetism optimization E Cuevas, D Oliva, D Zaldivar, M Pérez-Cisneros, H Sossa Information Sciences 182 (1), 40-55, 2012 | 114 | 2012 |
| A global optimization algorithm inspired in the behavior of selfish herds F Fausto, E Cuevas, A Valdivia, A González Biosystems 160, 39-55, 2017 | 98 | 2017 |
| A multi-threshold segmentation approach based on artificial bee colony optimization E Cuevas, F Sención, D Zaldivar, M Pérez-Cisneros, H Sossa Applied Intelligence 37 (3), 321-336, 2012 | 87 | 2012 |
| Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC) E Cuevas, D Zaldívar, M Pérez-Cisneros, H Sossa, V Osuna Applied soft computing 13 (6), 3047-3059, 2013 | 78 | 2013 |
| An algorithm for global optimization inspired by collective animal behavior E Cuevas, M Gonzalez, D Zaldivar, M Perez-Cisneros, G García Discrete Dynamics in Nature and Society 2012, 2012 | 70 | 2012 |
| 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 | 68 | 2018 |
| A multi-level thresholding method for breast thermograms analysis using Dragonfly algorithm MA Diaz-Cortes, N Ortega-Sánchez, S Hinojosa, D Oliva, E Cuevas, ... Infrared Physics & Technology 93, 346-361, 2018 | 67 | 2018 |
| Circle detection using discrete differential evolution optimization E Cuevas, D Zaldivar, M Pérez-Cisneros, M Ramírez-Ortegón Pattern Analysis and Applications 14 (1), 93-107, 2011 | 67 | 2011 |
Daniel Zaldivar NavarroUniversidad de GuadalajaraDirección de correo verificada de cucei.udg.mx
