Mohammed Mahseur

University of Sciences and Technology Houari Boumediene

Papers

Total Citations

200

H-Index

About

Mohammed Mahseur is a leading figure in the field of computational intelligence and metaheuristic optimization, with a particular focus on the Dragonfly Algorithm (DA). His seminal comprehensive review and application study of the Dragonfly Algorithm, published in 2020, has garnered over 200 citations, establishing him as a key authority on this nature-inspired swarm intelligence technique. Mahseur’s work systematically analyzes the algorithm’s mechanics, variants, and diverse applications across engineering, data clustering, and image processing, providing a foundational resource for researchers and practitioners. Beyond this landmark review, his contributions extend to developing hybrid optimization frameworks and enhancing algorithm performance for real-world problems. His research is widely recognized for bridging theoretical advancements with practical deployment, making complex optimization accessible to a broader audience. Mahseur’s impact is evident in the growing adoption of the Dragonfly Algorithm in fields ranging from renewable energy systems to medical diagnostics. For students and researchers, his work offers a clear roadmap for leveraging metaheuristics to solve challenging optimization tasks, cementing his reputation as an influential innovator in computational intelligence.