A5078953567- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Scheduling and Optimization Algorithms
- Advanced Multi-Objective Optimization Algorithms
- Optimal Power Flow Distribution
- Manufacturing Process and Optimization
- Fuzzy Logic and Control Systems
- Electric Vehicles and Infrastructure
- Digital Imaging for Blood Diseases
- Advanced Manufacturing and Logistics Optimization
- Microgrid Control and Optimization
- Advanced Battery Technologies Research
- Digital Transformation in Industry
- Image Enhancement Techniques
- Electric Power System Optimization
- Glaucoma and retinal disorders
- Neurobiology and Insect Physiology Research
- Retinal Imaging and Analysis
- Power System Optimization and Stability
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Image and Object Detection Techniques
- Big Data and Business Intelligence
- Advanced Image Processing Techniques
- Fault Detection and Control Systems
Universidad de Guadalajara
2017-2024
As a mean to provide reactive power compensation radial distribution networks, capacitor banks are commonly installed within these electrical systems. When properly allocated, several benefits, including an improvement on the feeder's voltage profile and significant reductions loss, which, in turn, leads important amounts of energy savings cost reductions. This formulation is known literature as optimal placement (OCP) problem. From optimization perspective, OCP considered remarkably complex...
Recently, many researchers have proved that the electrification of transport sector is a key for reducing both emissions green-house pollutants and dependence on oil transportation. As result, Plug-in Hybrid Electric Vehicles (or PHEVs) are receiving never before seen increased attention. Consequently, large-scale penetration PHEVs into market expected to take place in near future, however, an unattended increase needs may cause several technical problems which could potentially compromise...
The Locust Search (LS) algorithm is a swarm-based optimization method inspired in the natural behavior of desert locust. LS considers inclusion two distinctive nature-inspired search mechanism, namely, their solitary phase and social operators. These interesting schemes allow to overcome some difficulties that commonly affect other similar methods, such as premature convergence lack diversity on solutions. Recently, computer vision experiments insect tracking methods have conducted...
The enhancement of manufacturing processes due to the growing demand for products and services is a problem that must be constantly updated fulfill such requests. Under circumstances, several schemas have been conducted improve processes, as flexible use machines, tools, tools access directions determine best process planning (PP) specific piece or part. Including different machine combinations particular becomes application in complicated combinatory can treated an optimization problem. On...