A5017323092- Metaheuristic Optimization Algorithms Research
- Medical Image Segmentation Techniques
- Advanced Multi-Objective Optimization Algorithms
- Advanced Image and Video Retrieval Techniques
- Evolutionary Algorithms and Applications
- Image Enhancement Techniques
- Image Retrieval and Classification Techniques
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
- Machine Learning and ELM
- Neural Networks and Applications
- Image Processing Techniques and Applications
- Visual Attention and Saliency Detection
- Image and Object Detection Techniques
- Photovoltaic System Optimization Techniques
- Image and Signal Denoising Methods
- Advanced Neural Network Applications
- Industrial Vision Systems and Defect Detection
- Infrared Target Detection Methodologies
- Vehicle Routing Optimization Methods
- Machine Learning and Algorithms
- Structural Health Monitoring Techniques
- Power Quality and Harmonics
- Treatment of Major Depression
- Software Reliability and Analysis Research
Tecnológico de Monterrey
2020-2025
Universidad de Guadalajara
2014-2021
Universidad Complutense de Madrid
2017-2019
Software (Spain)
2017-2019
Lancaster University
2018
University of Malta
2018
Computer Algorithms for Medicine
2018
The efficient use of energy in electrical systems has become a relevant topic due to its environmental impact. Parameter identification induction motors and capacitor allocation distribution networks are two representative problems that have strong implications the massive energy. From an optimization perspective, both considered extremely complex their non-linearity, discontinuity, high multi-modality. These characteristics make difficult solve them by using standard techniques. On other...
System identification is a complex optimization problem which has recently attracted the attention in field of science and engineering. In particular, use infinite impulse response (IIR) models for preferred over their equivalent FIR (finite response) since former yield more accurate physical plants real world applications. However, IIR structures tend to produce multimodal error surfaces whose cost functions are significantly difficult minimize. Evolutionary computation techniques (ECT)...
Mental health is vital to human well-being, and prevention strategies address mental illness have a significant impact on the burden of disease quality life. With recent developments in body-worn sensors, it now possible continuously collect data that can be used gain insights into states. This has potential optimize psychiatric assessment, thereby improving patient experiences However, access high-quality medical for research purposes limited, especially regarding diagnosed patients. To...
Training multi-layer neural networks (MLNNs), a challenging task, involves finding appropriate weights and biases. MLNN training is important since the performance of MLNNs mainly dependent on these network parameters. However, conventional algorithms such as gradient-based methods, while extensively used for training, suffer from drawbacks tendency to getting stuck in local optima. Population-based metaheuristic can be overcome problems. In this paper, we propose novel algorithm,...
Simheuristics combine metaheuristics with simulation in order to solve the optimization problems stochastic elements. This paper introduces concept of fuzzy simheuristics, which extends simheuristics approach by making use techniques, thus allowing us tackle under a more general scenario, includes uncertainty elements both and non-stochastic nature. After reviewing related work, discusses, detail, how optimization, simulation, components can be efficiently integrated. In illustrate potential...
The proper use of evolutionary operators is crucial to find optimal solutions in a search space. Moreover, the diversity population affects performance Evolutionary Algorithms (EAs). This article introduces an EA called BWEAD which balances influence operators. proposal also performs statistical analysis when low and decides might be replaced. Then able explore space exploit prominent regions. has been tested over CEC2014 set benchmark functions. experiments provide competitive results...