Dr. 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. 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.
Enlaces
Perfil de Investigador SNII:
Perfil PRODEP:
Bases de datos bibliográficas:
Publicaciones del académico:
- Erratum to: Recent Advances of Chimp Optimization Algorithm: Variants and Applications (Journal of Bionic Engineering, (2023), 20, 6, (2840-2862), 10.1007/s42235-023-00414-1)
- Prism refraction search: a novel physics-based metaheuristic algorithm
- Population of Hyperparametric Solutions for the Design of Metaheuristic Algorithms: An Empirical Analysis of Performance in Particle Swarm Optimization
- 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
- Optimizing feedforward neural networks using a modified weighted mean of vectors: Case study chemical datasets
- FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays
- Quasi-random Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global optimization
- Improved Golden Sine II in Synergy with Non-monopolized Local Search Strategy
- Population of Hyperparametric Solutions for the Design of Metaheuristic Algorithms: An Empirical Analysis of Performance in Particle Swarm Optimization
- Differential Evolution: A Survey on Their Operators and Variants
- Improving the estimation of distribution algorithm with a differential mutation for multilevel thresholding image segmentation
- Artificial intelligence and edge computing for machine maintenance-review
- GSK-LocS: Towards a more effective generalisation in population-based neural network training
- Contrast enhancement of digital images using dragonfly algorithm
- A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks
- Enhancing image thresholding segmentation with a novel hybrid battle royale optimization algorithm
- Population of Hyperparametric Solutions for the Design of Metaheuristic Algorithms: An Empirical Analysis of Performance in Particle Swarm Optimization
- Foreword
- Handling imbalanced medical datasets: review of a decade of research
- Frilled Lizard Optimization to optimize parameters Proportional Integral Derivative of DC Motor
- An Improved Multi-objective Optimization Framework with a Hybrid Model for Vehicular Adhoc Network Routing Services
- ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image Enhancement
- IDEL: An Improved Differential Evolution with Lissajous Mutation
- Enhancing Retinal OCT Scans via Metaheuristic-Driven Bayesian Speckle Denoising
- 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