Mathematical Problems in Engineering / 2013 / Article / Tab 2

Research Article

Solving a Novel Inventory Location Model with Stochastic Constraints and Inventory Control Policy

Table 2

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

Instance TS PSO Dif (%)

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

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.