25 citations · 90 across the 15 of their papers we have counts for
16 papers
Is the Fitness Dependent Optimizer Ready for the Future of Optimization?
Ardalan H. Awlla, Tarik A. Rashid, Ronak M. Abdullah
Metaheuristic algorithms are optimization methods that are inspired by real phenomena in nature or the behavior of living beings, e.g., animals, to be used for solving complex prob…
Optimizing LPB Algorithms using Simulated Annealing
Dana Rasul Hamad, Tarik A. Rashid
Learner Performance-based Behavior using Simulated Annealing (LPBSA) is an improvement of the Learner Performance-based Behavior (LPB) algorithm. LPBSA, like LPB, has been proven t…
LPBSA: Enhancing Optimization Efficiency through Learner Performance-based Behavior and Simulated Annealing
Dana R. Hamad, Tarik A. Rashid
This study introduces the LPBSA, an advanced optimization algorithm that combines Learner Performance-based Behavior (LPB) and Simulated Annealing (SA) in a hybrid approach. Emphas…
Elevating Information System Performance: A Deep Dive into Quality Metrics
Dana A Abdullah, Hewir A. Khidir, Ismail Y. Maolood +6
In today's digital age, information systems (IS) are indispensable tools for organizations of all sizes. The quality of these systems, encompassing system, information, and service…
Foxtsage vs. Adam: Revolution or Evolution in Optimization?
Sirwan A. Aula, Tarik A. Rashid
Optimization techniques are pivotal in neural network training, shaping both predictive performance and convergence efficiency. This study introduces Foxtsage, a novel hybrid optim…
In Search of Excellence: SHOA as a Competitive Shrike Optimization Algorithm for Multimodal Problems
Hanan K. AbdulKarim, Tarik A. Rashid
In this paper, a swarm intelligence optimization algorithm is proposed as the Shrike Optimization Algorithm (SHOA). Many creatures living in a group and surviving for the next gene…