Table 7 Parameter settings for the algorithms used in this study.
From: Greylag goose optimization and multilayer perceptron for enhancing lung cancer classification
Algorithm | Parameter | Values |
|---|---|---|
GGO | Population size | 50 |
Inertia weight | 0.9 | |
Iterations | 100 | |
WOA | Population size | 200 |
Iterations | 100 | |
GWO | Iterations | 100 |
Wolves | 20 | |
FOA | Iterations | 100 |
Population size | 150 | |
SC | Initial amplitude | 2 |
Iterations | 100 | |
PSO | Particles | 80 |
Iterations | 100 | |
MVO | Aversion parameter (λ) | 0.6 |
Iterations | 100 |
