ADRIAN GONZALEZ BECERRA
adrian.gonzalezb@academicos.udg.mx
Departamento de adscripción:
INGENIERIA ELECTRO-FOTONICA
Nombramiento: Profesor Docente Titular A
Categoría: DEFINITIVO
Perfil de Investigador SNII:
Nivel SNII:
I
Área del conocimiento:
Ingenierias y Desarrollo Tecnologico
Campo de investigación:
Ciencias Tecnologicas
Periodo vigente:
1 de enero de 2023
-
31 de diciembre de 2027
Perfil PRODEP:
Inicio de la vigencia:
16 de julio de 2023
Fin de la vigencia:
15 de julio de 2026
Estancia Posdoctoral
Nombre del proyecto:
SELECCION DE CARACTERISTICAS MEDIANTE ALGORITMOS METAHEURISTICOs
Tipo de estancia:
CONHACYT - CONVOCATORIA DE ESTANCIAS POSDOCTORALES
Modalidad:
-
Departamento:
INGENIERIA ELECTRO-FOTONICA
Posgrado:
DOCTORADO EN CIENCIAS DE LA ELECTRONICA Y LA COMPUTACION
Asesor responsable:
-
Periodo:
1 de octubre de 2018 - 30 de septiembre de 2019
Bases de datos bibliográficas:
Publicaciones del académico:
2024 - 1 articulos.
- Detection of COVID-19: A Metaheuristic-Optimized Maximally Stable Extremal Regions Approach
2023 - 1 articulos.
- A new method to solve rotated template matching using metaheuristic algorithms and the structural similarity index
2021 - 2 articulos.
- Machine Reading Comprehension (LSTM) Review (State of Art)
- Studies in Computational Intelligence
2020 - 14 articulos.
- Comparison of Metaheuristic Methods for Template Matching
- An introduction to nature-inspired metaheuristics and swarm methods
- The locust swarm optimization algorithm
- The selfish herd optimizer
- The swarm method of the social-spider
- Metaheuristics and swarm methods: a discussion on their performance and applications
- Locust search algorithm applied to multi-threshold segmentation
- New Advancements in Swarm Algorithms: Operators and Applications
- Locust search algorithm applied for template matching
- Multimodal Swarm Algorithm Based on the Collective Animal Behavior (CAB) for Circle Detection
- A swarm algorithm inspired by the collective animal behavior
- Auto-calibration of Fractional Fuzzy Controllers by Using the Swarm Social-Spider Method
- Intelligent Systems Reference Library
- Preface
2018 - 3 articulos.
- Ls-II: an improved locust search algorithm for solving optimization problems
- A swarm approach for improving voltage profiles and reduce power loss on electrical distribution networks
- Research Article Ls-II: An Improved Locust Search Algorithm for Solving Optimization Problems
2017 - 4 articulos.
- A template matching approach based on the behavior of swarms of locust
- A new descriptor for image matching based on bionic principles
- A global optimization algorithm inspired in the behavior of selfish herds
- A chaos-embedded gravitational search algorithm for the identification of electrical parameters of photovoltaic cells
2015 - 4 articulos.
- UTILITY OF THE USE PROTOCOL OF HPLC FOR DIAGNOSIS OF ERYTHROPATHOLOGICAL DISEASE IN THE RAMON AND CAJAL HOSPITAL
- Research Article Multithreshold Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms
- Multithreshold segmentation by using an algorithm based on the behavior of locust swarms
- An optimisation algorithm based on the behaviour of locust swarms