Application of Hierarchical Facility Location-Routing Problem with Optimization of an Underground Logistic System: A Case Study in China

Table 1

Parameter settings in the GA.

Number of variables
Population type	Double vector
Bounds	0,1
Population size	300
Scaling function	Rank
Selection function	Stochastic uniform
Elite count	20
Crossover fraction	0.8
Mutation function	Constraint dependent
Migration direction	Forward
Migration fraction	0.2
Migration interval	20
Constraint parameters	Augmented Lagrangian
Initial penalty	10
Penalty factor	100