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
B-PSA: A Binary Pendulum Search Algorithm for the Feature Selection Problem.
,
,
,
,
,
,
,
,
,
,
,
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
Pendulum Motion Based Optimization Algorithm To Solve The Feature Selection Problem.
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the XLIX Latin American Computer Conference, 2023
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
Reinforcement Learning Based Whale Optimizer.
,
,
,
,
,
,
,
,
,
,
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
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