Pareto Approximation Empirical Results of Energy-Aware Optimization for Precedence-Constrained Task Scheduling Considering Switching Off Completely Idle Machines

Autor: José Antonio Castán Rocha, Alejandro Santiago, Alejandro H. García-Ruiz, Jesús David Terán-Villanueva, Salvador Ibarra Martínez, Mayra Guadalupe Treviño Berrones

Publikováno v: Mathematics, Vol 12, Iss 23, p 3733 (2024)

Recent advances in cloud computing, large language models, and deep learning have started a race to create massive High-Performance Computing (HPC) centers worldwide. These centers increase in energy consumption proportionally to their computing capa

Externí odkaz: https://doaj.org/article/af79acc26fe64febb6a0c18b3039cd36

Assessing a Multi-Objective Genetic Algorithm with a Simulated Environment for Energy-Saving of Air Conditioning Systems with User Preferences

Autor: Alejandro Humberto García Ruiz, Salvador Ibarra Martínez, José Antonio Castán Rocha, Jesús David Terán Villanueva, Julio Laria Menchaca, Mayra Guadalupe Treviño Berrones, Mirna Patricia Ponce Flores, Aurelio Alejandro Santiago Pineda

Publikováno v: Symmetry, Vol 13, Iss 2, p 344 (2021)

Electricity is one of the most important resources for the growth and sustainability of the population. This paper assesses the energy consumption and user satisfaction of a simulated air conditioning system controlled with two different optimization

Externí odkaz: https://doaj.org/article/bd7a532be7bf431abf4cbe6e66ec0a16

The Internet Shopping Optimization Problem with Multiple Item Units (ISHOP-U): Formulation, Instances, NP-Completeness, and Evolutionary Optimization

Autor: Fernando Ornelas, Alejandro Santiago, Salvador Ibarra Martínez, Mirna Patricia Ponce-Flores, Jesús David Terán-Villanueva, Fausto Balderas, José Antonio Castán Rocha, Alejandro H. García, Julio Laria-Menchaca, Mayra Guadalupe Treviño-Berrones

Publikováno v: Mathematics, Vol 10, Iss 14, p 2513 (2022)

In this work, we investigate the variant of the Internet Shopping Optimization Problem (ISHOP) that considers different item units. This variant is more challenging than the original problem. The original ISHOP is already known as a combinatorial NP-

Externí odkaz: https://doaj.org/article/da285406b0e1435eaccfb2edddedc498

Short Time Series Forecasting: Recommended Methods and Techniques

Autor: Mariel Abigail Cruz-Nájera, Mayra Guadalupe Treviño-Berrones, Mirna Patricia Ponce-Flores, Jesús David Terán-Villanueva, José Antonio Castán-Rocha, Salvador Ibarra-Martínez, Alejandro Santiago, Julio Laria-Menchaca

Publikováno v: Symmetry; Volume 14; Issue 6; Pages: 1231

This paper tackles the problem of forecasting real-life crime. However, the recollected data only produced thirty-five short-sized crime time series for three urban areas. We present a comparative analysis of four simple and four machine-learning-bas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4e5781f587eee3b879595aadbdaea83

Estudio de redes neuronales para el pronóstico de la demanda de asignaturas

Autor: José Eduardo Martínez-Infante, Jesús David Terán-Villanueva, Alejandro Humberto García-Ruiz, José Antonio Castan-Rocha, Julio Laria-Menchaca, Salvador Ibarra-Martínez, Mayra Guadalupe Treviño-Berrones

Publikováno v: Revista Facultad de Ingeniería, Volume: 28, Issue: 50, Pages: 34-43, Published: MAR 2019
Revista Facultad de Ingeniería, Vol 28, Iss 50, Pp 34-43 (2019)

Resumen La planeación de cursos de un centro educativo o universidad está compuesta por múltiples problemas complejos como lo es la asignación de horarios para los alumnos, salones y profesores para cada asignatura. Uno de los problemas iniciales

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e800639474b636ec5edf01cc69876c71
https://doi.org/10.19053/01211129.v28.n50.2019.8783