| 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 | 207 | 2017 |
| A multi-level thresholding method for breast thermograms analysis using Dragonfly algorithm MA Díaz-Cortés, N Ortega-Sánchez, S Hinojosa, D Oliva, E Cuevas, ... Infrared Physics & Technology 93, 346-361, 2018 | 121 | 2018 |
| 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 | 115 | 2018 |
| Image segmentation by minimum cross entropy using evolutionary methods D Oliva, S Hinojosa, V Osuna-Enciso, E Cuevas, M Pérez-Cisneros, ... Soft Computing 23, 431-450, 2019 | 76 | 2019 |
| Context based image segmentation using antlion optimization and sine cosine algorithm D Oliva, S Hinojosa, MA Elaziz, N Ortega-Sánchez Multimedia Tools and Applications 77, 25761-25797, 2018 | 71 | 2018 |
| Entropy-based imagery segmentation for breast histology using the Stochastic Fractal Search S Hinojosa, KG Dhal, MA Elaziz, D Oliva, E Cuevas Neurocomputing 321, 201-215, 2018 | 65 | 2018 |
| 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 | 65 | 2014 |
| 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 | 62 | 2018 |
| Metaheuristic algorithms for image segmentation: theory and applications D Oliva, M Abd Elaziz, S Hinojosa Springer International Publishing, 2019 | 59 | 2019 |
| Opposition-based moth swarm algorithm D Oliva, S Esquivel-Torres, S Hinojosa, M Pérez-Cisneros, ... Expert Systems with Applications 184, 115481, 2021 | 52 | 2021 |
| An optimized Kernel Extreme Learning Machine for the classification of the autism spectrum disorder by using gaze tracking images A Gaspar, D Oliva, S Hinojosa, I Aranguren, D Zaldivar Applied Soft Computing 120, 108654, 2022 | 51 | 2022 |
| Side-Blotched Lizard Algorithm: A polymorphic population approach O Maciel, E Cuevas, MA Navarro, D Zaldívar, S Hinojosa Applied Soft Computing 88, 106039, 2020 | 48 | 2020 |
| Metaheuristics in machine learning: theory and applications D Oliva, EH Houssein, S Hinojosa Springer, 2021 | 38 | 2021 |
| Multilevel thresholding for image segmentation based on metaheuristic algorithms D Oliva, M Abd Elaziz, S Hinojosa, D Oliva, M Abd Elaziz, S Hinojosa Metaheuristic algorithms for image segmentation: theory and applications, 59-69, 2019 | 37 | 2019 |
| Multilevel thresholding by fuzzy type II sets using evolutionary algorithms D Oliva, S Nag, MA Elaziz, U Sarkar, S Hinojosa Swarm and Evolutionary Computation 51, 100591, 2019 | 29 | 2019 |
| Improving image thresholding by the type II fuzzy entropy and a hybrid optimization algorithm M Abd Elaziz, U Sarkar, S Nag, S Hinojosa, D Oliva Soft Computing 24 (19), 14885-14905, 2020 | 27 | 2020 |
| 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 |
| Fuzzy Simheuristics: Solving Optimization Problems under Stochastic and Uncertainty Scenarios D Oliva, P Copado, S Hinojosa, J Panadero, D Riera, AA Juan Mathematics 8 (12), 2240, 2020 | 20 | 2020 |
| Thermal Image Segmentation Using Evolutionary Computation Techniques S Hinojosa, G Pajares, E Cuevas, N Ortega-Sanchez Advances in Soft Computing and Machine Learning in Image Processing, 63-88, 2018 | 19 | 2018 |
| Balancing the Influence of Evolutionary Operators for Global optimization D Oliva, E Rodriguez-Esparza, MSR Martins, M Abd Elaziz, S Hinojosa, ... 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 18 | 2020 |
