DIEGO ALBERTO OLIVA NAVARRO
Resumen curricular:
En el 2007 obtuvo el grado de Ingeniero en Electronica y Computación por el Centro de Enseñanza Técnica Industrial (CETI) en Guadalajara, México. ... Ver más
En el 2007 obtuvo el grado de Ingeniero en Electronica y Computación por el Centro de Enseñanza Técnica Industrial (CETI) en Guadalajara, México. En el año 2010 se graduó como Maestro en Ciencias en Ingeniería Electronica y Computación en el Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI) de la Universidad de Guadalajara (UDG), en México. En el año 2015 obtuvo el grado de Doctor en Ingeniería Informática por la Universidad Complutense de Madrid (UCM) en España. Desde el 2008 ha centrado sus investigaciones en el desarrollo, implementación y diseño de algoritmos metaheurísticos. Ha publicado diversos trabajos en revistas internacionales, en temas referentes a la optimización y sus implementaciones. Desde el 2015 es miembro de la Academia Mexicana de Computación (AMEXCOMP) y del Instituto de Ingenieros Eléctricos y Electrónicos (IEEE). Desde el 2017 es miembro del Sistema Nacional de Investigadores (SNI) de México, donde en el 2019 obtuvo la distinción de Nivel II. Ha sido editor y autor de diversos libros en editoriales internacionales, es editor asociado y editor invitado para diversas revistas especializadas de alto factor de impacto. Actualmente se desempeña como profesor e investigador en la Universidad de Guadalajara (CUCEI). Además, colabora con universidades mexicanas y extranjeras en diversos proyectos de investigación. Sus principales temas de estudio son: inteligencia artificial, algoritmos de optimización metaheurísticos, optimización multiobjetivo, estimación de parámetros en ingeniería, procesamiento de imágenes y señales digitales. Ver menos
Perfil de Investigador SNII:
Perfil PRODEP:
Bases de datos bibliográficas:
Publicaciones del académico:
- Prism refraction search: a novel physics-based metaheuristic algorithm
- Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach
- Multi-Objective Water Strider Algorithm for Complex Structural Optimization: A Comprehensive Performance Analysis
- Artificial intelligence and edge computing for machine maintenance-review
- An improved binary grey wolf optimizer for constrained engineering design problems
- Moth-flame optimization based deep feature selection for facial expression recognition using thermal images
- A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks
- A novel modified mountain gazelle optimizer for tuning parameter proportional integral derivative of DC motor
- A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks
- Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation
- Wrapper-based feature selection to classify flatfoot disease
- A Critical Review of Moth-Flame Optimization Algorithm and Its Variants: Structural Reviewing, Performance Evaluation, and Statistical Analysis
- The non-monopolize search (NO): a novel single-based local search optimization algorithm
- MetaCluster: An open-source Python library for metaheuristic-based clustering problems
- Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution
- Hyperbolic Tangent Sigmoid as a Transformation Function for Image Contrast Enhancement
- Cataractous eye fundus image enhancement by using multi-scale tone decomposition
- An improved binary grey wolf optimizer for constrained engineering design problems
- Battle royale optimizer for multilevel image thresholding
- Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
- On the Cryptanalysis of a Simplified AES Using a Hybrid Binary Grey Wolf Optimization
- Liver Cancer Algorithm: A novel bio-inspired optimizer
- Erratum to: Recent Advances of Chimp Optimization Algorithm: Variants and Applications (Journal of Bionic Engineering, (2023), 10.1007/s42235-023-00414-1)
- Recent Advances of Chimp Optimization Algorithm: Variants and Applications
- A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization
- An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization
- Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic
- Quantum Artificial Hummingbird Algorithm for Feature Selection of Social IoT
- Moth-flame optimization based deep feature selection for facial expression recognition using thermal images
- An efficient discrete rat swarm optimizer for global optimization and feature selection in chemoinformatics
- An improved opposition-based Runge Kutta optimizer for multilevel image thresholding
- A Novel Decomposition-Based Multi-Objective Symbiotic Organism Search Optimization Algorithm
- Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm
- Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training
- Improving the segmentation of digital images by using a modified Otsu’s between-class variance
- Improving the Generalisation Ability of Neural Networks Using a Lévy Flight Distribution Algorithm for Classification Problems
- Classification of intracranial hemorrhage CT images based on texture analysis using ensemble-based machine learning algorithms: A comparative study
- L-shaped geometry-based pattern descriptor serving shape retrieval
- Boosted sooty tern optimization algorithm for global optimization and feature selection
- Demand prediction of rice growth stage-wise irrigation water requirement and fertilizer using Bayesian genetic algorithm and random forest for yield enhancement
- Enhanced feature selection technique using slime mould algorithm: a case study on chemical data
- An analysis on the performance of metaheuristic algorithms for the estimation of parameters in solar cell models
- Manta ray foraging optimizer-based image segmentation with a two-strategy enhancement
- Improving the generalisation ability of neural networks using a Lévy flight distribution algorithm for classification problems
- Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training
- Improving the segmentation of digital images by using a modified Otsu's between-class variance
- Optimization of Demand Response
- A Novel Plagiarism Detection Approach Combining BERT-based Word Embedding, Attention-based LSTMs and an Improved Differential Evolution Algorithm
- Inteligencia artificial en la salud: Las investigaciones en procesamiento de imágenes como apoyo al médico especialista
- A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics