An Improved Differential Evolution Algorithm for a Multicommodity Location-Inventory Problem with False Failure Returns
Table 6
Sensitivity analysis results.
Δ
-30.00%
-20.00%
-10.00%
0.00%
10.00%
20.00%
30.00%
CI
5967659.67
5532973.87
5098809.85
4665316.678
4232715.54
3801356.65
3371846.74
Gap
27.92%
18.60%
9.29%
0.00%
-9.27%
-18.52%
-27.73%
CR
8131974.50
9293685.14
10455395.78
11617106.42
12778817.06
13940527.71
15102238.35
Gap
-30.00%
-20.00%
-10.00%
0.00%
10.00%
20.00%
30.00%
OV
30760981.29
31488006.13
32215552.76
32943770.22
33672879.73
34403231.48
35135432.21
Gap
-6.63%
-4.42%
-2.21%
0.00%
2.21%
4.43%
6.65%
CT
11655759.59
13320868.10
14985976.61
16651085.12
18316193.63
19981302.15
21646410.66
Gap
-30.00%
-20.00%
-10.00%
0.00%
10.00%
20.00%
30.00%
CR
9141586.34
9969691.59
10793951.68
11617106.42
12437398.32
13255554.35
14073565.94
Gap
-21.31%
-14.18%
-7.09%
0.00%
7.06%
14.10%
21.15%
OV
25472924.60
27966138.37
30455506.97
32943770.22
35429170.64
37912435.18
40395555.28
Gap
-22.68%
-15.11%
-7.55%
0.00%
7.54%
15.08%
22.62%
CI
4659545.89
4661513.59
4663436.18
4665316.678
4667157.74
4668961.77
4670730.94
Gap
-0.12%
-0.08%
-0.04%
0.00%
0.04%
0.08%
0.12%
OV
32937999.43
32939967.13
32941889.73
32943770.22
32945611.28
32947415.32
32949184.48
Gap
-0.02%
-0.01%
-0.01%
0.00%
0.01%
0.01%
0.02%
CI
4657224.85
4660009.99
4662704.48
4665316.678
4667853.73
4670321.79
4672726.23
Gap
-0.17%
-0.11%
-0.06%
0.00%
0.05%
0.11%
0.16%
OV
32935678.39
32938463.54
32941158.03
32943770.22
32946307.27
32948775.33
32951179.77
Gap
-0.02%
-0.02%
-0.01%
0.00%
0.01%
0.02%
0.02%
CI
3292753.68
3750274.68
4207795.68
4665316.678
5122837.68
5580358.68
6037879.68
Gap
-29.42%
-19.61%
-9.81%
0.00%
9.81%
19.61%
29.42%
OV
31571207.22
32028728.22
32486249.22
32943770.22
33401291.22
33858812.22
34316333.22
Gap
-4.17%
-2.78%
-1.39%
0.00%
1.39%
2.78%
4.17%
CI
4650403.35
4655668.91
4660623.12
4665316.678
4669787.84
4674066.35
4678175.84
Gap
-0.32%
-0.21%
-0.10%
0.00%
0.10%
0.19%
0.28%
OV
32928856.89
32934122.46
32939076.67
32943770.22
32948241.39
32952519.89
32956629.38
Gap
-0.05%
-0.03%
-0.01%
0.00%
0.01%
0.03%
0.04%
CR
11058612.56
11245420.25
11431721.41
11617106.42
11802239.42
11987372.42
12172505.42
Gap
-4.81%
-3.20%
-1.60%
0.00%
1.59%
3.19%
4.78%
OV
32385276.36
32572084.05
32758385.21
32943770.22
33128903.22
33314036.22
33499169.22
Gap
-1.70%
-1.13%
-0.56%
0.00%
0.56%
1.12%
1.69%
CR
11146187.90
11303872.70
11461479.65
11617106.42
11770266.78
11922189.48
12073560.78
Gap
-4.05%
-2.70%
-1.34%
0.00%
1.32%
2.63%
3.93%
OV
32472851.69
32630536.49
32788143.45
32943770.22
33096930.58
33248853.28
33400224.58
Gap
-1.43%
-0.95%
-0.47%
0.00%
0.46%
0.93%
1.39%
Remark: in Table 6, “OV” means the optimal value, and “Gap” means the change of the optimal value. Note that the gap will be zero if no parameter is changed.
