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S013-04d.cvrp
Source:
cvrD
Source Composite Image
All sources below were be compared against this source composite image.
Top 49 Most Similar strIPlib Instances
These are the 49 CCM images (for individual instances) that are most similar to the CCM image for this instance, according to the ISS metric.
These are the 49 most similar strIPlib instance CCM images.
Name (Source)
E022-04g.cvrp
(cvrD)
E045-04f.cvrp
(cvrD)
E048-04y.cvrp
(cvrD)
E076-07s.cvrp
(cvrD)
prob4_010_010000_02
(kps)
prob4_010_001000_02
(kps)
qwhdec.order5.holes10.1.col.disa
(colB)
qwhopt.order5.holes10.1.col.disa
(colB)
prob4_020_002500_06
(kps)
n20p5t2s4
(pcp)
prob4_020_005000_05
(kps)
prob4_005_001000_09
(kps)
prob4_020_001000_02
(kps)
qwhdec.order5.holes10.1.col.bigM
(colA)
qwhopt.order5.holes10.1.col.bigM
(colA)
prob4_030_005000_09
(kps)
prob4_030_001000_07
(kps)
prob5_030_020000_05
(kps)
prob2_050_040_060_015_025_10
(kps)
prob1_100_040_060_025_035_04
(kps)
prob1_100_040_060_005_015_08
(kps)
prob3_050_040_060_035_045_01
(kps)
prob2_100_090_110_015_025_06
(kps)
prob2_100_040_060_035_045_10
(kps)
prob3_050_090_110_025_035_04
(kps)
prob1_050_040_060_015_025_06
(kps)
prob3_050_090_110_005_015_09
(kps)
prob1_100_040_060_015_025_08
(kps)
prob1_100_040_060_035_045_06
(kps)
prob2_100_040_060_035_045_06
(kps)
prob1_100_090_110_015_025_02
(kps)
prob1_100_040_060_035_045_09
(kps)
prob1_100_090_110_015_025_04
(kps)
nsf_p0.1_s5
(pcp)
prob1_100_090_110_005_015_05
(kps)
prob1_100_090_110_025_035_08
(kps)
prob2_050_040_060_035_045_01
(kps)
prob1_100_090_110_025_035_06
(kps)
prob2_100_090_110_025_035_09
(kps)
prob2_050_040_060_025_035_05
(kps)
prob1_100_090_110_035_045_03
(kps)
prob2_100_090_110_035_045_07
(kps)
prob1_100_040_060_005_015_04
(kps)
prob2_050_090_110_025_035_10
(kps)
prob3_100_090_110_005_015_07
(kps)
prob2_050_090_110_025_035_08
(kps)
prob2_050_090_110_015_025_06
(kps)
prob1_050_040_060_025_035_08
(kps)
prob2_050_040_060_035_045_04
(kps)
prob2_050_090_110_035_045_07
(kps)
Rank / ISS
The image-based structural similarity (ISS) metric measures the Euclidean distance between two image-based feature vectors. A smaller ISS value indicates greater similarity.
1 / 1.546
2 / 2.095
3 / 2.143
4 / 3.557
5 / 3.629
6 / 3.646
7 / 3.690
8 / 3.690
9 / 3.715
10 / 3.716
11 / 3.732
12 / 3.732
13 / 3.746
14 / 3.757
15 / 3.757
16 / 3.781
17 / 3.787
18 / 3.793
19 / 3.795
20 / 3.804
21 / 3.806
22 / 3.807
23 / 3.809
24 / 3.810
25 / 3.811
26 / 3.812
27 / 3.814
28 / 3.816
29 / 3.816
30 / 3.817
31 / 3.817
32 / 3.818
33 / 3.818
34 / 3.820
35 / 3.821
36 / 3.821
37 / 3.822
38 / 3.822
39 / 3.822
40 / 3.823
41 / 3.823
42 / 3.823
43 / 3.824
44 / 3.827
45 / 3.828
46 / 3.830
47 / 3.831
48 / 3.832
49 / 3.833
50 / 3.834