A Multiobjective Multiproduct Mathematical Modeling for Green Supply Chain considering Location-Routing Decisions

Table 4

Computational results of proposed algorithms to solve randomly generated problems.

No	NSGA-II				MOSA				Solution time
	First obj ($)	Second obj	MID	SM	First obj ($)	Second obj	MID	SM	NSGA-II	Sa
S1	137	382	4.45	0.08	136	378	4.44	0.08	62.74	65.51
S2	240	516	4.48	0.08	240	521	4.46	0.08	100.59	108.94
S3	395	663	4.56	0.09	401	663	4.54	0.09	119.51	129.66
S4	264	474	4.65	0.11	260	475	4.65	0.10	77.03	92.14
S5	257	495	4.68	0.13	255	486	4.65	0.12	91.12	105.03
S6	335	591	4.73	0.13	331	589	4.71	0.13	107.69	111.84
M7	376	549	4.98	0.19	378	545	4.95	0.17	129.07	132.04
M8	290	463	5.01	0.19	283	465	5.00	0.18	136.16	139.25
M9	102	436	5.05	0.23	99	437	5.05	0.22	89.77	97.78
M10	197	482	5.09	0.25	197	487	5.06	0.24	114.77	114.09
M11	360	641	5.14	0.26	362	642	5.13	0.25	124.24	130.73
M12	414	720	5.19	0.29	418	718	5.15	0.27	162.17	167.70
L13	433	652	5.77	0.33	441	641	5.74	0.31	143.25	134.05
L14	431	704	5.78	0.36	427	700	5.73	0.34	204.75	204.86
L15	380	701	5.85	0.41	378	700	5.82	0.40	140.90	146.70
L16	296	549	5.88	0.41	296	548	5.85	0.40	144.26	143.09
L17	431	703	5.89	0.43	423	705	5.84	0.42	200.02	195.55
L18	360	528	5.94	0.44	364	531	5.90	0.43	169.34	174.92
AVE	316.55	569.38	5.17	0.24	316.05	568.38	5.95	0.23	128.74	132.99