Table 5 Parameter settings for competitor algorithms.
From: Swift Flight Optimizer: a novel bio-inspired optimization algorithm based on swift bird behavior
Algorithm | Parameter | Value |
|---|---|---|
EMBGO | Radius ratio | Random (0.2, 0.99) |
FDA | Flux coefficient | 0.3 |
diffusion rate | 0.7 | |
GTO | Tension rate | 0.8 |
Aggression level | 0.2 | |
GWO | Convergence constant a | [2, 0] |
HGSO | l1 | 5E-03 |
l2 | 100 | |
L3 | 1E-02 | |
Alpha | 1 | |
Beta | 1 | |
M1 | 0.1 | |
M2 | 0.2 | |
HLOA | Free parameters | |
MFO | A linearly decreases | From − 1 to − 2 |
MVO | WEPMax | 1 |
WEPMin | 0.2 | |
SCA | r1 | Random (0,1) |
r2 | Random (0,1) | |
r3 | Random (0,1) | |
r4 | Random (0,1) | |
SHO | U | 0.05 |
V | 0.05 | |
L | 0.05 | |
WOA | Convergence constant a | [2,0] |
Convergence constant b | 1 | |
WSO | Hunt depth | 0.2 |
Speed factor | 0.8 | |
PSO | Inertia weight w | 0.5 |
Cognitive coefficient c1 | 1.5 | |
Social coefficient c2 | 1.5 |
