Table 5 Comparative Performance of FFO with Existing Metaheuristic Algorithms.
Algorithm | Convergence Iterations | Avg. Fitness Value | Computational Time (s) | Remark |
|---|---|---|---|---|
PSO | 120 | 0.84 | 2.35 | Slower convergence; local stagnation |
GWO | 105 | 0.86 | 2.10 | Good balance but less stable |
ACO | 130 | 0.82 | 2.60 | High overhead due to pheromone update |
FFO (Proposed) | 65 | 0.91 | 1.58 | Fast convergence and high stability |