A5082590373- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Advanced Multi-Objective Optimization Algorithms
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Brain Tumor Detection and Classification
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Laser and Thermal Forming Techniques
- Advanced Image Fusion Techniques
- Machine Learning and ELM
- Diabetic Foot Ulcer Assessment and Management
- Algorithms and Data Compression
- Autism Spectrum Disorder Research
- Image and Video Quality Assessment
- Neuroscience and Neural Engineering
Universidad de Guadalajara
2018-2024
Population size is an important variable in evolutionary algorithms (EA). Its proper configuration improves the performance of search process not only terms fitness function but also for resources required. This article introduced a population management mechanism that includes different operators. Such operators are designed and applied based on diversity population. In general terms, address problems EA regarding stagnation inefficient use evaluations. As case study, proposed method...
The balance between exploration and exploitation is an important feature in Evolutionary Algorithms (EA). use of different operators permits to explore the search space exploit most prominent regions. This article introduces a dynamic operator selection method that considers criteria at same time. proposed approach uses decision matrix (DyDM) identify which must be used each iteration based on how algorithm behaves. DyDM specific information as diversity avoid stagnation, actual work...
Diabetes is a metabolic disease of particular concern in México. Since Mexico has one the highest rates diabetes prevalence world, it estimated that around 13-15% Mexico's population diabetes. This research establishes precise relationship between patient habits and development complications associated with this pathology through machine learning techniques data analysis. The obtained results provide understanding how certain diabetic patients are directly linked to such as heart attacks,...
In recent years several variations of Particle Swarm optimizations have been proposed due to their simplicity and powerful global search ability. The Synchronous-Asynchronous Optimization (SAPSO) algorithm offers a modification from the original PSO that divides particles into smaller groups. SAPSO presents an asynchronous update mechanism in terms exploration synchronous exploitation. present lack exploitation intensification at last iteration. order overcome this deficiency, is modified...