7 citations · 23 across the 15 of their papers we have counts for
5 papers · 1 filter
Multi-objective Cat Swarm Optimization Algorithm based on a Grid System
Aram M. Ahmed, Bryar A. Hassan, Tarik A. Rashid +4
This paper presents a multi-objective version of the Cat Swarm Optimization Algorithm called the Grid-based Multi-objective Cat Swarm Optimization Algorithm (GMOCSO). Convergence a…
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…
Optimizing Feature Selection with Genetic Algorithms: A Review of Methods and Applications
Zhila Yaseen Taha, Abdulhady Abas Abdullah, Tarik A. Rashid
Analyzing large datasets to select optimal features is one of the most important research areas in machine learning and data mining. This feature selection procedure involves dimen…
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…