Table 1 Lists the hyper parameters used in above equations
From: Ensemble learning for integrative prediction of genetic values with genomic variants
Parameters | Value |
|---|---|
\({W}_{min}\) minimum weight | 0 |
\({W}_{max}\) maximum weight | 1 |
\({V}_{min}\) minimum update velocity |  − 0.01 |
\({V}_{max}\) maximum update velocity | 0.01 |
\(m\) the weight size | 20 |
\(F\) scaling factor | 0.5 |
\(CR\) crossover probability | 0.3 |
\(\varepsilon\) inertia weight | 1 |
\({c}_{1}\) accelerated factor 1 | 2 |
\({c}_{2}\) accelerated factor 2 | 2 |
\(Max\_iterations\) | 25 |