
International Journal of Swarm Intelligence Research, Journal Year: 2024, Volume and Issue: 15(1), P. 1 - 29
Published: July 30, 2024
This review paper delves into the original MRFO and its variants, focusing on single-objective algorithms including but not limited to hybrid algorithms, learning strategies, multiple populations dynamic parameter adjustment, highlighting improvements made enhance algorithm's efficiency in global optimization, accelerate convergence rates, improve capacity evade local optima. has emerged as an effective tool for solving complex optimization problems across various domains, energy biomedical field, engineering problems, others. A comprehensive analysis of applications different fields is provided, emphasizing adaptability efficacy. The concludes with a discussion challenges faced by potential future research directions, aiming consolidate current status guide investigations.
Language: Английский