Salvador Botello Rionda

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 7

Top Topics

Evolutionary Algorithm

Parameter Estimation

Monte Carlo Simulation

Top Venues

Math. Comput. Simul.

Computación y Sistemas

GECCO (Companion)

Publications

Jorge López-Ruiz, Salvador Botello Rionda, Rafael Herrera Guzmán, Mauricio Carrillo-Tripp
Viral capsid nanoindentation simulations using octree-type data structures. Math. Comput. Simul. 203 (2023)
Luis Blanco-Cocom, Salvador Botello Rionda, Luis Carlos Ordoñez, S. Ivvan Valdez
Design optimization and parameter estimation of a PEMFC using nature-inspired algorithms. Soft Comput. 27 (7) (2023)
Luis Blanco-Cocom, Salvador Botello Rionda, L. C. Ordoñez, S. Ivvan Valdez
Robust parameter estimation of a PEMFC via optimization based on probabilistic model building. Math. Comput. Simul. 185 (2021)
Salvador Botello Rionda, Sergio Ivvan Valdez Peña, Héctor M. Becerra, Eusebio E. Hernandez
Evaluating concurrent design approaches for a Delta parallel manipulator. Robotica 36 (5) (2018)
Sergio Ivvan Valdez Peña, Salvador Botello Rionda, Héctor M. Becerra, Eusebio E. Hernandez
Comparison Between a Concurrent and a Sequential Optimization Methodology for Serial Manipulators Using Metaheuristics. IEEE Trans. Ind. Informatics 14 (7) (2018)
Dennis G. Wilson, Silvio Rodrigues, Carlos Segura, Ilya Loshchilov, Frank Hutter, Guillermo López Buenfil, Ahmed Kheiri, Ed Keedwell, Mario Ocampo-Pineda, Ender Özcan, Sergio Iwan Valdez Pea, Brian Goldman, Salvador Botello Rionda, Arturo Hernández Aguirre, Kalyan Veeramachaneni, Sylvain Cussat-Blanc
Summary of evolutionary computation for wind farm layout optimization. GECCO (Companion) (2018)
Carlos Segura, Sergio Ivvan Valdez Peña, Salvador Botello Rionda, Arturo Hernández Aguirre
The importance of diversity in the application of evolutionary algorithms to the Sudoku problem. CEC (2016)
Carlos Segura, Arturo Hernández Aguirre, Sergio Ivvan Valdez Peña, Salvador Botello Rionda
The Importance of Proper Diversity Management in Evolutionary Algorithms for Combinatorial Optimization. NEO (2015)
Carlos Segura, Salvador Botello Rionda, Arturo Hernández Aguirre, Sergio Ivvan Valdez Peña
A Novel Diversity-based Evolutionary Algorithm for the Traveling Salesman Problem. GECCO (2015)
Eusebio E. Hernandez, Sergio Ivvan Valdez Peña, Marco Ceccarelli, Arturo Hernández Aguirre, Salvador Botello Rionda
Design optimization of a cable-based parallel tracking system by using evolutionary algorithms. Robotica 33 (3) (2015)
Guillermo Amaro-Rico, Salvador Botello Rionda, Mauricio Carrillo-Tripp
Linear Complexity and High Scalability of a Parallel Monte Carlo Simulation Method. 3PGCIC (2013)
Roberto C. Medel-Morales, Salvador Botello Rionda
Diseño y optimización de máquinas tuneladoras mediante la simulación del proceso de corte de roca con el método de elementos discretos. Computación y Sistemas 17 (3) (2013)
Victor E. Cardoso-Nungaray, Miguel Vargas-Félix, Salvador Botello Rionda
Estrategia de procesamiento paralelo para la solución del problema térmico-mecánico acoplado aplicado a un sistema 4D utilizando el método de elemento finito. Computación y Sistemas 17 (3) (2013)
Sergio Ivvan Valdez Peña, Arturo Hernández Aguirre, Salvador Botello Rionda
Approximating the search distribution to the selection distribution in EDAs. GECCO (2009)
Sergio Ivvan Valdez Peña, Salvador Botello Rionda, Arturo Hernández Aguirre
Uniformly Distributed Pareto Fronts through the maximin Selection Algorithm. Int. J. Artif. Intell. Tools 18 (2) (2009)
Giovanni Lizárraga, Marco Jimenez Gomez, Mauricio A. Garza Castañon, Jorge Acevedo-Dávila, Salvador Botello Rionda
Why Unary Quality Indicators Are Not Inferior to Binary Quality Indicators. MICAI (2009)
Sergio Ivvan Valdez Peña, Arturo Hernández Aguirre, Salvador Botello Rionda
Designing EDAs by using the elitist convergent EDA concept and the boltzmann distribution. GECCO (2008)
Giovanni Lizárraga Lizárraga, Arturo Hernández Aguirre, Salvador Botello Rionda
G-Metric: an M-ary quality indicator for the evaluation of non-dominated sets. GECCO (2008)
Giovanni Lizárraga Lizárraga, Arturo Hernández Aguirre, Salvador Botello Rionda
On the possibility to create a compatible--complete unary comparison method for evolutionary multiobjective algorithms. GECCO (2008)
Angel Eduardo Muñoz Zavala, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce, Salvador Botello Rionda
Constrained optimization with an improved particle swarm optimization algorithm. Int. J. Intell. Comput. Cybern. 1 (3) (2008)
Angel Eduardo Muñoz Zavala, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce, Salvador Botello Rionda
PESO+for Constrained Optimization. IEEE Congress on Evolutionary Computation (2006)
Sergio Ivvan Valdez Peña, Salvador Botello Rionda, Arturo Hernández Aguirre
Multiobjective shape optimization with constraints based on estimation distribution algorithms and correlated information. GECCO (2005)
Sergio Ivvan Valdez Peña, Salvador Botello Rionda, Arturo Hernández Aguirre
Multiobjective Shape Optimization Using Estimation Distribution Algorithms and Correlated Information. EMO (2005)
Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos Artemio Coello Coello
PASSSS: an implementation of a novel diversity strategy for handling constraints. IEEE Congress on Evolutionary Computation (2004)
Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga, Carlos A. Coello Coello
IS-PAES: switching constraints on and off for multiobjective optimization. IEEE Congress on Evolutionary Computation (2003)
Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga, Carlos A. Coello Coello
IS-PAES: Evolutionary Multi-Objective Optimization with Constraint Handling. ENC (2003)
Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello, Giovanni Lizárraga Lizárraga
Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization. GECCO (2003)
Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga, Carlos A. Coello Coello
IS-PAES: A Constraint-Handling Technique Based on Multiobjective Optimization Concepts. EMO (2003)