4 papers
Artificial Liver Classifier: A New Alternative to Conventional Machine Learning Models
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid
Supervised machine learning classifiers sometimes face challenges related to the performance, accuracy, or overfitting. This paper introduces the Artificial Liver Classifier (ALC),…
An Improved FOX Optimization Algorithm Using Adaptive Exploration and Exploitation for Global Optimization
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid
Optimization algorithms are essential for solving many real-world problems. However, challenges such as getting trapped in local minima and effectively balancing exploration and ex…
QF-tuner: Breaking Tradition in Reinforcement Learning
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid
In reinforcement learning algorithms, the hyperparameters tuning method refers to choosing the optimal parameters that may increase the overall performance. Manual or random hyperp…
MOANA: Multi-Objective Ant Nesting Algorithm for Optimization Problems
Noor A. Rashed, Yossra H. Ali Tarik A. Rashid, Seyedali Mirjalili
This paper presents the Multi-Objective Ant Nesting Algorithm (MOANA), a novel extension of the Ant Nesting Algorithm (ANA), specifically designed to address multi-objective optimi…