Table 6 Comparative performance of hybrid metaheuristic-ML techniques in smart grid and IoT routing.
Approach | Accuracy (%) | PDR (%) | Delay (ms) | Energy consumption (%) |
|---|---|---|---|---|
GA-SVM | 92.8 | 93.1 | 6.8 | 0.75 |
PSO-RF | 94.5 | 95.2 | 5.6 | 0.62 |
PSO-SVM | 93.6 | 94 | 6.2 | 0.7 |
GA-ANN | 91.9 | 92.5 | 7 | 0.78 |
ACO-RF | 94.1 | 94.7 | 5.9 | 0.65 |
BOA-PSO | 96.2 | 97 | 5.1 | 0.55 |
RF | 92.3 | 93.5 | 6.1 | 0.58 |
SVM | 89.5 | 91.2 | 7.4 | 0.69 |
HUG-RF | 96.8 | 99.96 | 4 | 0.36 |
