J. Frausto-Solís

发表

Volatility Forecasting Using Support Vector Regression and a Hybrid Genetic Algorithm

G. Santamaría-Bonfil, Ignacio Vázquez-Rodarte, J. Frausto-Solís, 2013, Computational Economics.

An hybrid simulated annealing threshold accepting algorithm for satisfiability problems using dynamically cooling schemes

Felix Martinez-Rios, Juan Frausto-Solis, F. Martínez-Rios, 2008 .

Attribute Selection Impact on Linear and Nonlinear Regression Models for Crop Yield Prediction

Alberto González-Sanchez, W. Ojeda-Bustamante, J. Frausto-Solis, 2014, TheScientificWorldJournal.

Predictive ability of machine learning methods for massive crop yield prediction

Juan Frausto-Solís, Alberto Gonzalez-Sanchez, Waldo Ojeda-Bustamante, 2014 .

MONIL Language, an Alternative for Data Integration

Juan Frausto-Solís, Jose Torres-Jimenez, Mónica Larre, 2006 .

Chaotic Multi-Objective Simulated Annealing and Threshold Accepting for Job Shop Scheduling Problem

Juan Frausto-Solís, Juan Javier González-Barbosa, Leonor Hernández-Ramírez, 2021, Mathematical and Computational Applications.

Genetic algorithm with forced diversity for the university timetabling problem

Jaime Mora-Vargas, Juan Frausto-Solís, Mónica Larre, 2006 .

Short-term streamflow forecasting: ARIMA vs neural networks

Juan Frausto-Solís, Javier Lagunas, Esmeralda Pita, 2008 .

Experimental Analysis of a Neighborhood Generation Mechanism Applied to Scheduling Problem

J. Frausto-Solis, M. Cruz-Chávez, J. Frausto-Solis, 2006, Electronics, Robotics and Automotive Mechanics Conference (CERMA'06).

Experimental analysis in simulated annealing to scheduling problems when upper bounds are used

Juan Frausto-Solís, Marco Antonio Cruz-Chavez, David Juárez-Romero, 2005 .

Time Series Complexities and Their Relationship to Forecasting Performance

Juan Frausto-Solís, Guillermo Santamaría-Bonfil, Joaquín Pérez-Ortega, 2020, Entropy.

Forecasting Oil Production Time Series with a Population-Based Simulated Annealing Method

Leonid Sheremetov, Juan Frausto-Solís, Manuel Chi-Chim, 2015 .

Graph k-colorability through threshold accepting and Davis-Putnam

M. Cruz-Chávez, J. C. Zavala-Díaz, J. Frausto-Solís, 2005 .

FCTA: A Forecasting Combined Methodology with a Threshold Accepting Approach

Javier-Enrique González-Barbosa, J. Frausto-Solís, Guadalupe Castilla-Valdez, 2022, Mathematical Problems in Engineering.

Three heuristics to solve Timetabling

Juan Frausto-Solís, Mónica Larre, José Luis Gómez-Ramos, 2006 .

Markov decision processes for infinite horizon problems solved with the cosine simplex method

E. Santiago, J. Frausto-Solis, J. Frausto-Solís, 2012 .

A Simulated Annealing Algorithm for the Satisfiability Problem Using Dynamic Markov Chains with Linear Regression Equilibrium

Felix Martinez-Rios, Juan Frausto-Solís, F. Martínez-Rios, 2012 .

Volatility Forecasting Using Support Vector Regression and a Hybrid Genetic Algorithm

J. Frausto-Solis, G. Santamaría-Bonfil, Ignacio Vázquez-Rodarte, 2013, Computational Economics.

Cosine Policy Iteration for Solving Infinite-Horizon Markov Decision Processes

Juan Frausto Solís, D. ElizabethSantiago, Jaime Mora-Vargas, 2009, MICAI.

A hybrid simulated annealing and threshold accepting for for satisfiability problems using dynamically cooling schemes

J. Frausto-Solis, F. Martínez-Rios, J. Frausto-Solís, 2007 .

FABRICATION OF A DISORDERED AND NANO-GRAIN SIZED FeAl INTERMETALLIC ALLOY BY TWO BALL MILLING CONDITIONS: MICROSTRUCTURAL CHARACTERIZATION AND CRYSTALLITE MODELING PERSPECTIVE

J. Porcayo-Calderón, J. Frausto-Solis, J. Juarez-Islas,, 2015 .

A Peptides Prediction Methodology for Tertiary Structure Based on Simulated Annealing

Juan Frausto-Solís, Juan Paulo Sánchez-Hernández, Juan Javier González-Barbosa, 2021, Mathematical and Computational Applications.

A Simplex-Genetic method for solving the Klee-Minty cube

Rafael Rivera-López, JUAN FRAUSTO-SOLIS, RAFAEL RIVERA-LOPEZ, 2002 .

2 Relation between the gradients of the constraints and the gradient of the objective function

Rafael Rivera-López, J. Frausto-Solis, Federico Trigos, 2022 .

Forecasting Oil Production Time Series with a Population-Based Simulated Annealing Method

L. Sheremetov, J. Frausto-Solís, M. Chi-Chim, 2015, Arabian Journal for Science and Engineering.

A Partition Rule for SAT Solvers: The Multiple Partition Rule (MPR)

Juan Frausto-Solís, Juan Segura-Salazar, J. Frausto-Solís, 2007 .

Golden Ratio Simulated Annealing for Protein Folding Problem

Juan Frausto-Solís, Mishael Sánchez-Pérez, Juan Paulo Sánchez-Hernández, 2015 .

Threshold temperature tuning Simulated Annealing for Protein Folding Problem in small peptides

Juan Frausto-Solís, Mishael Sánchez-Pérez, Juan Paulo Sánchez-Hernández, 2013, Computational and Applied Mathematics.

Chaotic Multiquenching Annealing Applied to the Protein Folding Problem

Mishael Sánchez-Pérez, Juan Paulo Sánchez-Hernández, Juan Frausto-Solis, 2014, TheScientificWorldJournal.