Sylia Makhmoukh Taleb
Papers
1
Total Citations
2
H-Index
1
About
Sylia Makhmoukh Taleb is a prominent researcher in computational intelligence and optimization, with a focus on nature-inspired metaheuristic algorithms. Her most cited work, "A Comprehensive Survey of Manta Ray Foraging Optimization: Theory, Variants, Hybridization, and Applications" (2025), has already garnered 2 citations, reflecting its timely impact on the field. Taleb’s major contribution lies in systematically analyzing and advancing the Manta Ray Foraging Optimization (MRFO) algorithm, a bio-inspired technique that mimics the elegant foraging behaviors of manta rays to solve complex optimization problems. Her survey not only synthesizes theoretical foundations and algorithmic variants but also explores hybrid approaches and real-world applications, providing a vital resource for researchers and practitioners. This work underscores her ability to bridge theory and practice, offering insights into how nature-inspired algorithms can be refined for enhanced performance in engineering, data science, and beyond. Taleb’s research is particularly valuable for students and researchers seeking to understand the evolution and potential of metaheuristic optimization, positioning her as a key contributor to this dynamic domain.
Research Focus
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Top Papers
- 1