Short-Term Traffic Flow Forecasting Method Based on LSSVM Model Optimized by GA-PSO Hybrid Algorithm

Table 2

Specific parameters of different algorithms.

algorithm	Specific parameters
GA	pop_size=100, max_gen=100, pc=0.8, pm=0.05
PSO	pop_size=100, max_gen=100, c1=c2=2
Traditional GA-PSO	pop_size=100, max_gen=100, pc=0.8, pm=0.05, c1=c2=2
Proposed GA-PSO	pop_size=100, max_gen=100, pc=0.8, pm=0.05, c1=c2=2, M= 0.4×pop_size, k_max=20