Research Article

Optimization of a Two-Echelon Location Lot-Sizing Routing Problem with Deterministic Demand

Table 1

Comparison of HGA results on LLSRP instances.

Ins tan cesBKSCost0.3Gap
(%)
CPU
(s)
Cost0.5Gap
(%)
CPU
(s)

3 – 5 – 368734.468734.4032.468734.4038.4
3 – 5 – 578976.878976.803078976.8044.9
3 – 5 – 77890578905039.679045.80.1856.3
3 – 8 – 385674.787163.41.7450.485674.7059.9
3 – 8 – 586785.986943.30.1868.386785.9070.5
3 – 8 – 786889.686889.6049.487004.80.1381.9
5 – 8 – 385543.186065.80.6170.185543.1096.8
5 – 8 – 586675.787529.50.9888.286675.70105.4
5 – 8 – 785548.986170.80.7383.385548.90140.8
5 – 12 – 397249.797249.70127.5974960.25198.5
5 – 12 – 599082.799082.70180.7100165.31.09210.6
5 – 12 – 7101536.6101734.40.19178.3101536.60201.7
5 – 16 – 3110764.1110764.10207.7110928.30.15309.6
5 – 16 – 5130785.3131707.10.7253.6130785.30283
5 – 16 – 7131786.9131929.80.11361.9131786.90317.4
Average94329.2994656.430.35121.4394445.90.12147.71