Table 9 Parameter values for the comparative algorithms.
From: Multi-resource constrained elective surgical scheduling with Nash equilibrium toward smart hospitals
Algorithm | Parameter | Value | Reference |
|---|---|---|---|
Common settings | Popsize: Population size | 200 | Wang, et al.50 |
itr: Maximum number of iterations | 200 | ||
Number of separate runs | 20 | Tan, et al.66 | |
HBA | β: Control parameter | 6 | Hashim, et al.26 |
λ: Constant parameter | 2 | ||
MGA | Pc: Crossover rate | 0.85 | Branda, et al.65 |
Pm: Mutation rate | 0.15 | ||
Pe: Elite count | 0.05 | ||
PSAO | Max: The maximum values of the accelerated function | 1 | Li, et al.14 |
Min: The minimum values of the accelerated function | 0.2 | ||
θ: Control parameters | 0.499 | ||
Wmax: Maximum weight | 0.9 | Duan and Wang67 | |
Wmin: Minimum weight | 0.4 | ||
C1, C2: Learning factors | 2 | ||
WHO | PC: Crossover percentage | 0.13 | Naruei and Keynia27 |
PS: Stallions percentage (number of groups) | 0.2 |
