About
Contact & Profiles
A5081326302
Research Areas
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Vehicle Routing Optimization Methods
- Scheduling and Optimization Algorithms
- Optimization and Search Problems
- COVID-19 epidemiological studies
- Cellular Automata and Applications
- COVID-19 Pandemic Impacts
- Image Enhancement Techniques
- Data Stream Mining Techniques
- Neural Networks Stability and Synchronization
- Advanced Measurement and Metrology Techniques
- Misinformation and Its Impacts
- Fuzzy Logic and Control Systems
- Model Reduction and Neural Networks
- Evolutionary Game Theory and Cooperation
- Retinal Imaging and Analysis
- Artificial Intelligence in Games
- Advanced Neural Network Applications
- Transportation and Mobility Innovations
- Brain Tumor Detection and Classification
- Advanced Control Systems Design
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
Universidad de Guadalajara
2018-2024
10.1016/j.swevo.2020.100671
article
EN
Swarm and Evolutionary Computation
2020-03-02
10.1016/j.biosystems.2018.09.007
article
EN
Biosystems
2018-09-25
10.1016/j.asoc.2019.105761
article
EN
Applied Soft Computing
2019-09-09
10.1016/j.ins.2021.11.073
article
EN
Information Sciences
2021-12-04
10.1016/j.bspc.2020.102259
article
EN
Biomedical Signal Processing and Control
2020-11-04
10.1007/s12065-025-01024-y
article
EN
Evolutionary Intelligence
2025-02-27
10.1016/j.compbiomed.2022.105847
article
EN
Computers in Biology and Medicine
2022-07-19
10.1016/j.apm.2020.12.016
article
EN
Applied Mathematical Modelling
2020-12-20
10.1016/j.asoc.2021.107389
article
EN
Applied Soft Computing
2021-04-08
10.1016/j.apm.2023.05.012
article
EN
Applied Mathematical Modelling
2023-05-11
10.1007/s13042-022-01537-3
article
EN
International Journal of Machine Learning and Cybernetics
2022-04-11
10.1016/j.knosys.2024.111784
article
EN
Knowledge-Based Systems
2024-04-11
In many engineering optimization problems, the number of function evaluations is severely limited by time or cost constraints. These limitations present a significant challenge in field global optimization, because existing metaheuristic methods typically require substantial to find optimal solutions. This paper presents new algorithm that considers information obtained radial basis neural network (RBFNN) terms objective for guiding search process. Initially, uses maximum design approach...
10.1038/s41598-024-67778-0
article
EN
cc-by-nc-nd
Scientific Reports
2024-07-22
10.1016/j.matcom.2022.11.005
article
EN
Mathematics and Computers in Simulation
2022-11-15
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