Felipe Cisternas-Caneo
Orcid: 0000-0001-7723-7012
According to our database1,
Felipe Cisternas-Caneo
authored at least 14 papers
between 2020 and 2025.
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Bibliography
2025
Exploring Chaotic Binarization Rules in the Binary Fox Optimizer for Complex Optimization Problems.
SN Comput. Sci., March, 2025
Metaheuristics Applied to Optimal Feature Selection for Accurate Predictive Models in Smart Health: A Case Study on Hypotension Prediction in Hemodialysis Patients.
Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025
2024
Optimizing Feature Selection with Metaheuristics: Trends, Techniques, and Future Directions.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2024
Enhancing Reptile Search Algorithm Performance for the Knapsack Problem with Integration of Chaotic Map.
Proceedings of the Advances in Soft Computing, 2024
Proceedings of the Advanced Research in Technologies, Information, Innovation and Sustainability, 2024
2023
Comput., November, 2023
Multi-armed Bandit-Based Metaheuristic Operator Selection: The Pendulum Algorithm Binarization Case.
Proceedings of the Optimization and Learning - 6th International Conference, 2023
Proceedings of the XLIX Latin American Computer Conference, 2023
2021
A Comparison of Learnheuristics Using Different Reward Functions to Solve the Set Covering Problem.
Proceedings of the Optimization and Learning - 4th International Conference, 2021
Population Size Management in a Cuckoo Search Algorithm Solving Combinatorial Problems.
Proceedings of the Informatics and Intelligent Applications, 2021
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
2020
An Autonomous Galactic Swarm Optimization Algorithm Supported by Hidden Markov Model.
Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020
A Q-Learning Hyperheuristic Binarization Framework to Balance Exploration and Exploitation.
Proceedings of the Applied Informatics - Third International Conference, 2020
A Data-Driven Dynamic Discretization Framework to Solve Combinatorial Problems Using Continuous Metaheuristics.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2020