4 citations · 9 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Unraveling the Versatility and Impact of Multi-Objective Optimization: Algorithms, Applications, and Trends for Solving Complex Real-World Problems
Noor A. Rashed, Yossra H. Ali, Tarik A. Rashid +1
Multi-Objective Optimization (MOO) techniques have become increasingly popular in recent years due to their potential for solving real-world problems in various fields, such as log…
FOXANN: A Method for Boosting Neural Network Performance
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid +1
Artificial neural networks play a crucial role in machine learning and there is a need to improve their performance. This paper presents FOXANN, a novel classification model that c…
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…