aspg-28-2547-1793997842 20261106204402 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Artificial Intelligence and Metaheuristics JAIM 2833-5597 2024 7 2 Abdulrahman Abdullah Farag Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology (DHIET), Mansoura 35111, Egypt Ziad Mohammed Ali Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology (DHIET), Mansoura 35111, Egypt Ahmed Mohamed Zaki Computer Science and Intelligent Systems Research Center, Blacksburg 24060, Virginia, USA Faris H.Rizk Computer Science and Intelligent Systems Research Center, Blacksburg 24060, Virginia, USA Marwa M. Eid Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura 35111, Egypt El-Sayed M. El-Kenawy Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology (DHIET), Mansoura 35111, Egypt This review focuses on feature selection as an important parameter in tuning machine-learning models. It surveys optimization algorithms including Moth-Flame Optimization (MFO), the hybrid GA–GSA algorithm, Seagull Optimization Algorithm (SOA), Whale Optimization Algorithm (WOA), Grasshopper Optimization Algorithm (GOA), Henry Gas Solubility Optimization (HGSO), and safety-constrained Bayesian optimization. These algorithms are used in engineering design, power-system scheduling, and other application areas. The review emphasizes optimization’s role in improving efficiency, reducing errors, and increasing model interpretability, and examines applications in structural engineering, additive manufacturing, and landslide-susceptibility mapping. A summary table presents the studies, methods, and key findings. The reviewed work demonstrates the adaptability and competitiveness of optimization algorithms across diverse domains and aims to guide researchers and practitioners by describing current approaches and directions for future research. 2024 01 06 2547 https://creativecommons.org/licenses/by/4.0/ 10.54216/JAIM.070201 https://americaspg.com/journal/28/article/2547 https://americaspg.com/storage/articles/manuscripts/01M5J377YZRQQ32HAG9951148D.pdf