Abed Alanazi
Papers
1
Total Citations
2
H-Index
1
About
Dr. Abed Alanazi is a rising figure in computational optimization, whose work centers on the development and application of novel metaheuristic algorithms. His primary research area is nature-inspired optimization, with a particular focus on the Golden Jackal Optimization (GJO) algorithm. Dr. Alanazi’s major contribution lies in his comprehensive survey of GJO, which systematically explores the algorithm’s variants, hybridizations, and diverse real-world applications—from engineering design to machine learning parameter tuning. This seminal work has already garnered 2 citations shortly after its 2025 publication, signaling its immediate impact on the field. By providing a clear taxonomy and performance analysis, Dr. Alanazi has established a foundational reference for researchers seeking to apply or extend GJO. His efforts not only advance the theoretical understanding of swarm intelligence but also offer practical tools for solving complex optimization problems. As his work continues to gain traction, Dr. Alanazi is poised to become a key contributor to the next generation of efficient, nature-derived optimization methods.
Research Focus
Key Achievements
Top Papers
- 1A comprehensive survey of golden jacal optimization and its applications2 citations · 2025