Path Planning Algorithm for the Multiple Depot Vehicle Routing Problem Based on Parallel Clustering

Table 7

Statistical analysis results of SPSALNS, SSA, and SQACS.

Parameters	Comparison between SPSALNS and SSA		Comparison between SPSALNS and SQACS
	SSA	SPSALNS	SQACS	SPSALNS
Average	109.788	33.564	93.673	33.564
Variance	240.984	16.893	117.353	16.893
Standard deviation	15.523	4.110	10.832	4.110
F	14.26465		6.946536
P (F ≤ f) one-tailed	1.15E − 10		6.48E − 07
t-Stat	25.99848		28.41517
P (T ≤ t) one-tailed	7.39E − 24		4.94E − 27
t one-tailed critical	1.69236		1.687094