Nur Farraliza Mansor

Papers

Total Citations

H-Index

About

Nur Farraliza Mansor is a researcher specializing in metaheuristic optimization, with a particular focus on the Harmony Search (HS) algorithm. Her work centers on enhancing the performance of this population-based approach for solving complex, large-scale optimization problems across diverse engineering and computational domains. Mansor’s key contributions include systematic analyses of parameter modifications in HS variants, demonstrating how tuning critical parameters like the Harmony Memory Considering Rate (HMCR) can significantly improve algorithmic exploration and convergence. Her 2014 study on parameter modifications in HS varieties has garnered 6 citations, while her 2015 paper introducing a novel HMCR parameter for better exploration has received 5 citations, reflecting the practical value of her insights for researchers seeking to optimize HS for real-world applications. Mansor’s research provides a foundational understanding of how subtle adjustments to metaheuristic parameters can yield substantial performance gains, making her work essential reading for students and engineers tackling challenging optimization problems in fields such as logistics, engineering design, and artificial intelligence.