Research Article

[Retracted] Large-Scale Scheduling Model Based on Improved Ant Colony Algorithm

Table 1

Model parameters ( represents XGBoost; represents ant colony algorithm).

Parameter nameValueMeaning

Max_depth15Maximum number of iteration layers
Learning_rate10.1Learning rate
n_estimators140Maximum number of iterations
ALPHA22Pheromone importance factor
BETA21Heuristic function importance factor
RHO20.6Pheromone volatility factor
Q2200Number of iterations
T2200Initial carrying capacity
State215Maximum number of stations