Moth-Flame Optimization Algorithm
Moth-Flame Optimization (MFO) is a novel meta-heuristic algorithm inspired by the biological behavior of moths navigating at night using transverse orientation. Proposed in 2015, it solves optimization problems by tracking optimal positions and implementing spiral search mechanisms. Suitable for single-objective optimization problems. Copyright belongs to the original authors, with honors to their innovation.