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:
Bases de datos bibliográficas:
Publicaciones del académico:
- A chaotic variant of the Golden Jackal Optimizer and its application for medical image segmentation
- MIAFEx: An Attention-based Feature Extraction Method for Medical Image Classification
- Improving the exploitation in the estimation of distribution algorithm through simulated annealing strategies for solar energy problems
- Artificial intelligence using federated learning: Fundamentals, challenges, and applications
- A novel metaheuristic population algorithm for optimising the connection weights of neural networks
- Improving the selection of differential evolution through a quartile-based ranked operator
- IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
- Adaptability and Efficiency in Population Management: A multi-population CMA-ES Strategy for High-Dimensional Optimization
- Dynamic Social Particle Swarm Optimization For Automatic Clustering
- Digital Image Processing Applied in the Deformation Analysis of Hip Prosthesis: Multivariate Regression Analysis
- Contrast enhancement of digital images using dragonfly algorithm
- GSK-LocS: Towards a more effective generalisation in population-based neural network training
- Handling imbalanced medical datasets: review of a decade of research
- An Improved Multi-objective Optimization Framework with a Hybrid Model for Vehicular Adhoc Network Routing Services
- IDEL: An Improved Differential Evolution with Lissajous Mutation
- FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays
- Enhancing Retinal OCT Scans via Metaheuristic-Driven Bayesian Speckle Denoising
- Optimizing feedforward neural networks using a modified weighted mean of vectors: Case study chemical datasets
- Enhancing image thresholding segmentation with a novel hybrid battle royale optimization algorithm
- Metaheuristics 15th International Conference, MIC 2024, Lorient, France, June 4–7, 2024, Proceedings, Part II
- Metaheuristics 15th International Conference, MIC 2024, Lorient, France, June 4–7, 2024, Proceedings, Part II
- Quasi-random Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global 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
- 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
- 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
- A Critical Review of Moth-Flame Optimization Algorithm and Its Variants: Structural Reviewing, Performance Evaluation, and Statistical Analysis
- Prism refraction search: a novel physics-based metaheuristic algorithm
- Corrections to “Wrapper-Based Feature Selection to Classify Flatfoot Disease”
- Improved Golden Sine II in Synergy with Non-monopolized Local Search Strategy
- Improved Golden Sine II in Synergy with Non-monopolized Local Search Strategy
- Wrapper-Based Feature Selection to Classify Flatfoot Disease
- The non-monopolize search (NO): a novel single-based local search optimization algorithm
- 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
- MetaCluster: An open-source Python library for metaheuristic-based clustering problems
- Improving the segmentation of digital images by using a modified Otsu’s between-class variance
- 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), 20, 6, (2840-2862), 10.1007/s42235-023-00414-1)
- 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