A Two-Stage Algorithm for the Closed-Loop Location-Inventory Problem Model Considering Returns in E-Commerce

Table 5

Optimal objective function values of two algorithms.

Instance	Algorithm	Max	Min	Mean	Standard deviation	Coefficient of variation
Srivastava 86-8×2	AC	402316	336543	365784	196736	0.537847
	LRCAC	355215	306842	335765	158962	0.473432
Perl 183-12×2	AC	598173	528538	563184	257649	0.457486
	LRCAC	553785	498037	528764	149717	0.283145
Christofides 69-50×5	AC	696271	620975	667864	456287	0.683203
	LRCAC	633762	582867	619458	287392	0.4639411
Christofides 69-75×10	AC	890756	821789	867246	564782	0.651236
	LRCAC	843685	783804	810473	395647	0.488168
Daskin 95-88×8	AC	1102873	898483	926586	537862	0.5804771
	LRCAC	921587	873672	896926	407816	0.4546819
Daskin 95-150×10	AC	1516428	1256731	1478356	624638	0.422522
	LRCAC	1258904	1078396	1157832	428373	0.3699785