Alejandro Santiago Pineda
Orcid: 0000-0002-3265-8531Affiliations:
- Polytechnic University of Altamira, Mexico
According to our database1,
Alejandro Santiago Pineda
authored at least 14 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Variable Neighborhood Search for precedence-constrained tasks optimization on heterogeneous systems.
Expert Syst. Appl., March, 2024
A Linear Genetic Programming Approach for the Internet Shopping Optimization Problem with Multiple Item Units (ISHOP-U).
Computación y Sistemas (CyS), 2024
2022
2021
Proceedings of the Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications, 2021
Assessing a Multi-Objective Genetic Algorithm with a Simulated Environment for Energy-Saving of Air Conditioning Systems with User Preferences.
Symmetry, 2021
Micro-Genetic algorithm with fuzzy selection of operators for multi-Objective optimization: μFAME.
Swarm Evol. Comput., 2021
2019
A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME.
Inf. Sci., 2019
2018
Modeling and Project Portfolio Selection Problem Enriched with Dynamic Allocation of Resources.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018
2017
Int. J. Comb. Optim. Probl. Informatics, 2017
2016
Branch and Bound Algorithm for the Heterogeneous Computing Scheduling Multi-Objective Problem.
Int. J. Comb. Optim. Probl. Informatics, 2016
2015
A Comparison Between Memetic Algorithm and Seeded Genetic Algorithm for Multi-objective Independent Task Scheduling on Heterogeneous Machines.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015
2014
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014
2012
Hybrid GRASP with Composite Local Search And Path-Relinking for the Linear Ordering Problem with Cumulative Costs.
Int. J. Comb. Optim. Probl. Informatics, 2012
On the energy optimization for precedence constrained applications using local search algorithms.
Proceedings of the 2012 International Conference on High Performance Computing & Simulation, 2012