José Carlos Soto-Monterrubio
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
José Carlos Soto-Monterrubio has a total of 29 co-authors. Here are the top co-authors by number of shared publications:
- Héctor Joaquín Fraire Huacuja
Tecnologico Nacional de Mexico, Instituto Tecnologico de Ciudad Madero
6 shared publications Bernabé Dorronsoro
4 shared publications- Juan Frausto-Solís
Graduate Program Division, Tecnológico Nacional de México/Instituto Tecnológico de Ciudad Madero, Ciudad Madero 89440, Mexico
3 shared publications - Alejandro Santiago
Autonomous University of Tamaulipas
2 shared publications - Bernabé Dorronsoro
University of Cadiz
2 shared publications Héctor Fraire
2 shared publications
Latest Publications
- 1 March 2022
- Published by Elsevier in Expert Systems with Applications
- Vol. 190
Two novel branch and bound algorithms for the vertex bisection problem
- 1 March 2022
- Published by Elsevier in Expert Systems with Applications
- Vol. 190
Two novel branch and bound algorithms for the vertex bisection problem
- 28 February 2020
- Published by Springer Nature
- p. 195-208
AMOSA with Analytical Tuning Parameters and Fuzzy Logic Controller for Heterogeneous Computing Scheduling Problem
- 28 February 2020
- Published by Springer Nature
- p. 195-208
AMOSA with Analytical Tuning Parameters and Fuzzy Logic Controller for Heterogeneous Computing Scheduling Problem
- Open Access
- 17 December 2018
- Published by MDPI AG
Optimal Scheduling for Precedence-Constrained Applications on Heterogeneous Machines
- 17 December 2018
- Published by MDPI AG
Open AccessOptimal Scheduling for Precedence-Constrained Applications on Heterogeneous Machines
- 10 December 2016
- Published by Springer Nature
- p. 701-711
AMOSA with Analytical Tuning Parameters for Heterogeneous Computing Scheduling Problem
- 10 December 2016
- Published by Springer Nature
- p. 701-711
AMOSA with Analytical Tuning Parameters for Heterogeneous Computing Scheduling Problem
- 1 January 2016
- Published by IGI Global Scientific Publishing
- p. 280-292
Multi-Objective Simulated Annealing Algorithms for General Problems
Simulated Annealing is an analogy with the annealing of solids, which foundations come from a physical area known as statistical mechanics. This chapter presents a review of the literature on multi-objective simulated annealing (MOSA). There are several multi-objective approaches to solve optimization problems with simulated annealing such as hybridizations, implementation of strategies from different metaheuristics. Modern MOSA research includes populations and adaptive rules, and are briefly described in this chapter. We discuss different approaches in multi-objective and we revise the modern MOSA framework.
- 1 January 2016
- Published by IGI Global Scientific Publishing
- p. 280-292
Multi-Objective Simulated Annealing Algorithms for General Problems
Simulated Annealing is an analogy with the annealing of solids, which foundations come from a physical area known as statistical mechanics. This chapter presents a review of the literature on multi-objective simulated annealing (MOSA). There are several multi-objective approaches to solve optimization problems with simulated annealing such as hybridizations, implementation of strategies from different metaheuristics. Modern MOSA research includes populations and adaptive rules, and are briefly described in this chapter. We discuss different approaches in multi-objective and we revise the modern MOSA framework.
- 10 December 2015
- Published by Springer Nature
- p. 463-474
TwoPILP: An Integer Programming Method for HCSP in Parallel Computing Centers
- 10 December 2015
- Published by Springer Nature
- p. 463-474
TwoPILP: An Integer Programming Method for HCSP in Parallel Computing Centers
- 27 March 2014
- Published by Springer Nature
- p. 453-465
A Survey of Decomposition Methods for Multi-objective Optimization
- 27 March 2014
- Published by Springer Nature
- p. 453-465
A Survey of Decomposition Methods for Multi-objective Optimization