Salvador Hinojosa

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 28

Top Topics

Parameter Optimization

Image Segmentation

Evolutionary Computation

Top Venues

Expert Syst. Appl.

Publications

Seyed Jalaleddin Mousavirad, Diego Oliva, Ripon K. Chakrabortty, Davood Zabihzadeh, Salvador Hinojosa
Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation. Knowl. Based Syst. 245 (2022)
Angel Gaspar, Diego Oliva, Salvador Hinojosa, Itzel Aranguren, Daniel Zaldivar
An optimized Kernel Extreme Learning Machine for the classification of the autism spectrum disorder by using gaze tracking images. Appl. Soft Comput. 120 (2022)
Mario A. Navarro, Alfonso Ramos-Michel, Angel Gaspar, Diego Oliva, Salvador Hinojosa, Seyed Jalaleddin Mousavirad, Marco A. Pérez Cisneros
Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion. EvoApplications (2022)
Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Mario A. Navarro, Itzel Aranguren, Arturo Valdivia, Alfonso Ramos-Michel, Diego Oliva, Salvador Hinojosa
Handling stagnation through diversity analysis: A new set of operators for evolutionary algorithms. CEC (2022)
Diego Oliva, Marcella S. R. Martins, Salvador Hinojosa, Mohamed E. Abd Elaziz, Paulo Victor dos Santos, Gelson da Cruz, Seyed Jalaleddin Mousavirad
A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization. Int. J. Mach. Learn. Cybern. 13 (12) (2022)
Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa, Gerald Schaefer
Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning. CoRR (2021)
Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa, Gerald Schaefer
Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning. CEC (2021)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Diego Oliva, Salvador Hinojosa
HCS-BBD: an effective population-based approach for multi-level thresholding. GECCO Companion (2021)
Diego Oliva, Sara Esquivel-Torres, Salvador Hinojosa, Marco A. Pérez Cisneros, Valentín Osuna-Enciso, Noé Ortega-Sánchez, Gaurav Dhiman, Ali Asghar Heidari
Opposition-based moth swarm algorithm. Expert Syst. Appl. 184 (2021)
Diego Oliva, Erick Rodríguez-Esparza, Marcella S. R. Martins, Mohamed E. Abd Elaziz, Salvador Hinojosa, Ahmed A. Ewees, Songfeng Lu
Balancing the Influence of Evolutionary Operators for Global optimization. CEC (2020)
Mohamed E. Abd Elaziz, Uddalok Sarkar, Sayan Nag, Salvador Hinojosa, Diego Oliva
Improving image thresholding by the type II fuzzy entropy and a hybrid optimization algorithm. Soft Comput. 24 (19) (2020)
Salvador Hinojosa, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Marco A. Pérez Cisneros
Reducing overlapped pixels: a multi-objective color thresholding approach. Soft Comput. 24 (9) (2020)
Oscar Maciel-Castillo, Erik Cuevas, Mario A. Navarro, Daniel Zaldivar, Salvador Hinojosa
Side-Blotched Lizard Algorithm: A polymorphic population approach. Appl. Soft Comput. 88 (2020)
Omar Ávalos, Erik Valdemar Cuevas Jiménez, Arturo Valdivia-Gonzalez, Jorge Gálvez, Salvador Hinojosa, Daniel Zaldivar, Diego Oliva
A Comparative Study of Evolutionary Computation Techniques for Solar Cells Parameter Estimation. Computación y Sistemas 23 (1) (2019)
Jorge Gálvez, Erik Cuevas, Salvador Hinojosa, Omar Ávalos, Marco A. Pérez Cisneros
A reactive model based on neighborhood consensus for continuous optimization. Expert Syst. Appl. 121 (2019)
Diego Oliva, Salvador Hinojosa, Marcella S. R. Martins, Erick Rodríguez-Esparza, Noé Ortega-Sánchez, Marco A. Pérez Cisneros
Improving the estimation of parameters in induction motors using an evolutionary computation algorithm. LA-CCI (2019)
Diego Oliva, Salvador Hinojosa, Valentín Osuna-Enciso, Erik Cuevas, Marco A. Pérez Cisneros, Gildardo Sánchez-Ante
Image segmentation by minimum cross entropy using evolutionary methods. Soft Comput. 23 (2) (2019)
Diego Oliva, Sayan Nag, Mohamed E. Abd Elaziz, Uddalok Sarkar, Salvador Hinojosa
Multilevel thresholding by fuzzy type II sets using evolutionary algorithms. Swarm Evol. Comput. 51 (2019)
Erick Rodríguez-Esparza, Laura A. Zanella-Calzada, Diego Oliva, Salvador Hinojosa, Marco A. Pérez Cisneros
Multilevel segmentation for automatic detection of malignant masses in digital mammograms based on threshold comparison. LA-CCI (2019)
Salvador Hinojosa, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Omar Ávalos, Jorge Gálvez
Correction to: Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. Neural Comput. Appl. 29 (8) (2018)
Salvador Hinojosa, Omar Ávalos, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Jorge Gálvez
Unassisted thresholding based on multi-objective evolutionary algorithms. Knowl. Based Syst. 159 (2018)
Jorge Gálvez, Erik Cuevas, Omar Ávalos, Diego Oliva, Salvador Hinojosa
Electromagnetism-like mechanism with collective animal behavior for multimodal optimization. Appl. Intell. 48 (9) (2018)
Salvador Hinojosa, Omar Ávalos, Jorge Gálvez, Diego Oliva, Erik Cuevas, Marco A. Pérez Cisneros
Remote sensing imagery segmentation based on multi-objective optimization algorithms. LA-CCI (2018)
Salvador Hinojosa, Krishna Gopal Dhal, Mohamed E. Abd Elaziz, Diego Oliva, Erik Cuevas
Entropy-based imagery segmentation for breast histology using the Stochastic Fractal Search. Neurocomputing 321 (2018)
Diego Oliva, Salvador Hinojosa, Mohamed Abd El-Aziz, Noé Ortega-Sánchez
Context based image segmentation using antlion optimization and sine cosine algorithm. Multim. Tools Appl. 77 (19) (2018)
Salvador Hinojosa, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Omar Ávalos, Jorge Gálvez
Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. Neural Comput. Appl. 29 (8) (2018)
Salvador Hinojosa, Diego Oliva, Erik Cuevas, Marco A. Pérez Cisneros, Gonzalo Pajares
Real-time video thresholding using evolutionary techniques and cross entropy. EAIS (2018)
Diego Oliva, Salvador Hinojosa, Erik Cuevas, Gonzalo Pajares, Omar Ávalos, Jorge Gálvez
Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm. Expert Syst. Appl. 79 (2017)
Erik Cuevas, Jorge Gálvez, Salvador Hinojosa, Omar Ávalos, Daniel Zaldivar, Marco A. Pérez Cisneros
A Comparison of Evolutionary Computation Techniques for IIR Model Identification. J. Appl. Math. 2014 (2014)