Solving a Novel Inventory Location Model with Stochastic Constraints and (𝑅,𝑠,𝑆) Inventory Control Policy

Table 2

Comparison between results obtained by the local search (TS) and the evolutionary algorithm (PSO).

Instance	TS	PSO	Dif (%)
𝐶1FC+25	142,772.05	142,849.31	0.054%
𝐶1FC+25	172,204.30	166,232.44	−3.468%
𝐶1TC−25	125,920.71	147,587.20	17.206%
𝐶1TC+25	164,272.51	164,450.20	0.108%
𝐶1HC−25	134,974.87	141,538.00	4.862%
𝐶1HC+25	173,147.78	178,852.42	3.295%
𝐶1OC−25	155,644.07	157,435.47	1.151%
𝐶1OC+25	157,637.04	157,176.59	−0.292%
𝐶1𝑅1	152,860.21	156,823.91	2.593%
𝐶1𝑅2	226,197.19	226,450.57	0.112%
𝐶1𝑅3	300,915.27	301,078.22	0.054%
𝐶2FC−25	123,147.56	119,074.55	−3.307%
𝐶2FC+25	142,471.58	145,809.30	2.343%
𝐶2TC−25	124,372.47	122,065.28	−1.855%
𝐶2TC+25	136,471.36	135,172.27	−0.952%
𝐶2HC−25	114,363.85	108,741.32	−4.916%
𝐶2HC+25	148,850.52	142,216.14	−4.457%
𝐶2OC−25	133,414.40	127,997.33	−4.060%
𝐶2OC+25	133,270.49	133,320.84	0.038%
𝐶2𝑅1	132,817.52	119,972.02	−9.672%
𝐶2𝑅2	198,309.61	197,929.53	−0.192%
𝐶2𝑅3	266,821.85	262,059.09	−1.785%