4 citations · 9 across the 5 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…
BCDDO: Binary Child Drawing Development Optimization
Abubakr S. Issa, Yossra H. Ali, Tarik A. Rashid
A lately created metaheuristic algorithm called Child Drawing Development Optimization (CDDO) has proven to be effective in a number of benchmark tests. A Binary Child Drawing Deve…