Algorithm | Parameter | Value |
---|---|---|
LFOA | ax, ay | 20,20 |
bx, by | 10,10 | |
FOA | ax, ay | 20,20 |
bx, by | 10,10 | |
GA | crossover | 0.4 |
mutation | 0.01 | |
PSO | c 1 , c 2 | 2 |
w | 1 | |
v max | 6 | |
MFO | a | a∈[−1–2] |
b | 1 | |
BA (bat algorithm) | Q | Q∈[0 2] |
A | 0.5 | |
r | 0.5 | |
DA (dragon fly algorithm) | w | w∈[0.9 0.2] |
s | 0.1 | |
a | 0.1 | |
c | 0.7 | |
f | 1 | |
e | 1 | |
FPA (flower pollination algorithm) | p | 0.8 |
λ | 1.5 | |
SCA (sine cosine algorithm) | a | 2 |
RF | Number of trees (ntree) | 500 |
Number of variables (mtry) | 3 | |
BPNN | Number of hidden neurons | 8 |
Type of activation function | Sigmoid | |
Learning algorithm | tranlim | |
ELM | Number of hidden neurons | 50 |
Type of activation function | Sigmoid |