A Hybrid Genetic Algorithm for Integrated Truck Scheduling and Product Routing on the Cross-Docking System with Multiple Receiving and Shipping Docks

Table 8

Best parameter set for the proposed hybrid GA.

Parameter	Value
Population size of the outbound truck sequence	80
Population size of the inbound truck sequence	10
Termination condition for the individual truck sequence	200 iterations
Termination condition for the nested population	20 iterations
Crossover rate	0.7
Mutation rate	0.5
Elitism rate	0.2
Offspring insertion method	Replacement
Product routing heuristic	DBR
Initial sequence generation method	Random permutation
Number of repetitions	5