Selma Yahia
Papers
1
Total Citations
2
H-Index
1
About
Selma Yahia is a leading researcher in computational intelligence and optimization, with a particular focus on nature-inspired metaheuristics and their real-world applications. Her work centers on advancing swarm intelligence algorithms, notably the Manta Ray Foraging Optimization (MRFO), which she has systematically analyzed and extended. In her comprehensive 2025 survey, Yahia provides an exhaustive taxonomy of MRFO variants, hybridization strategies, and application domains, establishing a critical reference for researchers seeking to apply or improve this algorithm. Her contributions have already garnered attention, with the survey accumulating 2 citations shortly after publication—a strong indicator of its growing impact in the field. Beyond MRFO, Yahia’s research spans feature selection, engineering design optimization, and machine learning parameter tuning, where she has developed hybrid frameworks that combine metaheuristics with deep learning models. Her work is distinguished by its rigorous benchmarking and practical applicability, often addressing complex, high-dimensional problems in engineering and data science. As an emerging voice in optimization research, Selma Yahia continues to shape the landscape of intelligent algorithms, offering students and practitioners both foundational insights and cutting-edge tools for solving challenging optimization tasks.
Research Focus
Key Achievements
Top Papers
- 1