Dynamic Network Design Problem under Demand Uncertainty: An Adjustable Robust Optimization Approach

Table 5

Comparison of simulation results.

𝐵	Mean			Standard deviation			Maximum
	SODNDP	SODNDP-RC1	SODNDP-AARC1	SODNDP	SODNDP-RC1	SODNDP-AARC1	SODNDP	SODNDP-RC1	SODNDP-AARC1
𝜃=0.1
10	4610.0	4610.0	4610.0	1367.1	1367.1	1367.1	7614.0	7614.0	7614.0
20	4575.5	4575.5	4575.5	1362.2	1362.2	1362.2	7581.3	7581.3	7581.3
30	4551.3	4551.3	4551.3	1357.5	1357.5	1357.5	7548.6	7548.6	7548.6
40	4527.7	4527.7	4527.7	1352.1	1352.1	1352.1	7515.8	7515.8	7515.8
50	4505.0	4505.0	4505.0	1346.9	1346.9	1346.9	7483.1	7483.1	7483.1
60	4483.4	4483.4	4483.4	1340.8	1340.8	1340.8	7450.3	7450.3	7450.3
70	4463.1	4458.5	4463.1	1334.1	1338.3	1334.1	7417.6	7421.4	7417.6
80	4443.5	4431.7	4443.5	1327.5	1337.7	1327.5	7384.9	7394.2	7384.9
90	4421.8	4405.3	4424.6	1322.9	1336.5	1320.7	7354.1	7367.1	7352.2
100	4395.2	4378.9	4406.7	1322.1	1335.1	1313.7	7326.9	7339.9	7314.9
𝜃=0.2
10		4610.0	4610.0		1367.1	1367.1		7614.0	7614.0
20		4575.5	4575.5		1362.2	1362.2		7581.3	7581.3
30		4551.3	4551.3		1357.5	1357.5		7548.6	7548.6
40		4527.7	4527.7		1352.2	1352.1		7515.9	7515.8
50		4500.8	4505.0		1351.7	1346.9		7488.7	7483.1
60		4473.9	4483.4		1351.3	1340.8		7461.5	7450.3
70		4447.3	4463.1		1350.3	1334.1		7434.4	7417.6
80		4420.8	4443.5		1349.1	1327.5		7407.2	7384.9
90		4394.7	4424.6		1347.3	1320.7		7380.0	7352.2
100		4368.5	4406.7		1345.5	1313.7		7352.9	7314.9
𝜃=0.3
10		4610.0	4610.0		1367.1	1367.1		7614.0	7614.0
20		4575.5	4575.5		1363.7	1362.2		7583.2	7581.3
30		4548.1	4551.3		1363.3	1357.5		7556.0	7548.6
40		4521.3	4527.7		1362.6	1352.1		7528.8	7515.8
50		4494.7	4505.0		1361.7	1346.9		7501.7	7483.1
60		4468.2	4483.4		1360.5	1340.8		7474.5	7450.3
70		4441.7	4463.1		1359.1	1334.1		7447.3	7417.6
80		4415.3	4443.5		1357.7	1327.5		7420.1	7384.9
90		4390.2	4424.6		1356.1	1320.7		7394.1	7352.2
100		4368.0	4406.7		1354.4	1313.7		7370.9	7314.9