Ridwan Boya Marqas
Papers
1
Total Citations
6
H-Index
1
About
Ridwan Boya Marqas is a prominent researcher in computational intelligence and metaheuristic optimization, with a particular focus on nature-inspired algorithms. His most cited work, "Cuckoo Search Algorithm: Overview, Modifications, and Applications" (2025, 6 citations), provides a comprehensive survey of the Cuckoo Search Algorithm (CSA)—a technique inspired by the brood parasitism behavior of cuckoo birds. Marqas expertly elucidates how CSA, through its Lévy flight mechanism, achieves an effective balance between global exploration and local exploitation, making it a powerful tool for solving complex optimization problems. This review not only synthesizes the algorithm's theoretical foundations but also catalogs its diverse modifications and real-world applications across engineering, data science, and beyond. By offering a clear, accessible roadmap for researchers and practitioners, Marqas has significantly advanced the understanding and adoption of CSA in the optimization community. His work stands as a vital resource for students and scholars seeking to harness nature-inspired computing for tackling challenging optimization tasks, cementing his reputation as a key contributor to the field of metaheuristic algorithms.
Research Focus
Key Achievements
Top Papers
- 1Cuckoo search algorithm: overview, modifications, and applications6 citations · 2025