Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Juan Frausto-Solis"'
Autor:
Erick Estrada-Patiño, Guadalupe Castilla-Valdez, Juan Frausto-Solis, Javier González-Barbosa, Juan Paulo Sánchez-Hernández
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract This paper presents FORSEER (Forecasting by Selective Ensemble Estimation and Reconstruction), a novel methodology designed to address temperature forecasting under the challenges inherent to climate change. FORSEER integrates decomposition,
Externí odkaz:
https://doaj.org/article/5e6e71559d1741ee874669cb47a27856
Autor:
Juan Frausto-Solis, Leonor Hernández-Ramírez, Guadalupe Castilla-Valdez, Juan J. González-Barbosa, Juan P. Sánchez-Hernández
Publikováno v:
Mathematical and Computational Applications, Vol 26, Iss 1, p 8 (2021)
The Job Shop Scheduling Problem (JSSP) has enormous industrial applicability. This problem refers to a set of jobs that should be processed in a specific order using a set of machines. For the single-objective optimization JSSP problem, Simulated Ann
Externí odkaz:
https://doaj.org/article/4b638890e44349ed915233d33bf98398
Publikováno v:
Spanish Journal of Agricultural Research, Vol 12, Iss 2, Pp 313-328 (2014)
An important issue for agricultural planning purposes is the accurate yield estimation for the numerous crops involved in the planning. Machine learning (ML) is an essential approach for achieving practical and effective solutions for this problem. M
Externí odkaz:
https://doaj.org/article/127b411c14414fe088718b902aadf307
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Efficient cropping requires yield estimation for each involved crop, where data-driven models are commonly applied. In recent years, some data-driven modeling technique comparisons have been made, looking for the best model to yield prediction. Howev
Externí odkaz:
https://doaj.org/article/41538ddf4aff4d0fa7c44b0ec681c7f4
Autor:
Juan Frausto-Solis, Ernesto Liñan-García, Mishael Sánchez-Pérez, Juan Paulo Sánchez-Hernández
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
The Chaotic Multiquenching Annealing algorithm (CMQA) is proposed. CMQA is a new algorithm, which is applied to protein folding problem (PFP). This algorithm is divided into three phases: (i) multiquenching phase (MQP), (ii) annealing phase (AP), and
Externí odkaz:
https://doaj.org/article/2f53cf273ef44703b58e7e75e51709a2
Autor:
Juan Frausto-Solis, Lemuel Rodriguez-Moya, Javier González-Barbosa, Guadalupe Castilla-Valdez, Mirna Ponce-Flores
Publikováno v:
Mathematical Problems in Engineering. 2022:1-19
The combination of forecasting methods is a widespread technique. The most common technique for ensembling several individual methods is scoring. These ensemble methods have been useful for designing hybrid forecasting time series methods in several
Autor:
Joaquín Pérez-Ortega, Carlos Fernando Moreno-Calderón, Sandra Silvia Roblero-Aguilar, Nelva Nely Almanza-Ortega, Juan Frausto-Solís, Rodolfo Pazos-Rangel, Alicia Martínez-Rebollar
Publikováno v:
Axioms, Vol 13, Iss 9, p 592 (2024)
Fuzzy C-Means is a clustering algorithm widely used in many applications. However, its computational complexity is very large, which prevents its use for large problem instances. Therefore, a hybrid improvement is proposed for the algorithm, which co
Externí odkaz:
https://doaj.org/article/383e3fb86ead48eea6734626c357d926
Autor:
Juan Frausto Solis, José L. Purata Aldaz, Manuel González del Angel, Javier González Barbosa, Guadalupe Castilla Valdez
Publikováno v:
Axioms; Volume 11; Issue 2; Pages: 42
The classic model of Markowitz for designing investment portfolios is an optimization problem with two objectives: maximize returns and minimize risk. Various alternatives and improvements have been proposed by different authors, who have contributed
Autor:
Juan Frausto-Solís, José Christian de Jesús Galicia-González, Juan Javier González-Barbosa, Guadalupe Castilla-Valdez, Juan Paulo Sánchez-Hernández
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 2, p 19 (2024)
Accurate forecasting remains a challenge, even with advanced techniques like deep learning (DL), ARIMA, and Holt–Winters (H&W), particularly for chaotic phenomena such as those observed in several areas, such as COVID-19, energy, and financial time
Externí odkaz:
https://doaj.org/article/18b2832467bf42d8bfa6a0e54a9cd65c
Autor:
Juan Frausto-Solis
Publikováno v:
Journal of Asian Scientific Research. 4(1):14-26
In this paper, a hybrid Simulated Annealing algorithm using Boltzmann and Bose-Einstein Distributions (SABBE) is proposed. SABBE was designed for solving satisfiability (SAT) instances, and it has three phases: i) BP (Boltzmann Phase), ii) BEP (Bose-