mad: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Koichi Fujii
Description: Mean-Absolute Deviation Model for Car Dealerships
MIPLIB Entry

Parent Instance (mad)

All other instances below were be compared against this "query" instance.

mad Raw mad Decomposed mad Composite of MIC top 5 mad Composite of MIPLIB top 5 mad Model Group Composite
Raw This is the CCM image before the decomposition procedure has been applied.
Decomposed This is the CCM image after a decomposition procedure has been applied. This is the image used by the MIC's image-based comparisons for this query instance.
Composite of MIC Top 5 Composite of the five decomposed CCM images from the MIC Top 5.
Composite of MIPLIB Top 5 Composite of the five decomposed CCM images from the MIPLIB Top 5.
Model Group Composite Image Composite of the decomposed CCM images for every instance in the same model group as this query.

MIC Top 5 Instances

These are the 5 decomposed CCM images that are most similar to decomposed CCM image for the the query instance, according to the ISS metric.

Decomposed These decomposed images were created by GCG.
neos-3322547-alsek decomposed neos-2978205-isar decomposed neos-848589 decomposed gen-ip054 decomposed gen-ip002 decomposed
Name neos-3322547-alsek [MIPLIB] neos-2978205-isar [MIPLIB] neos-848589 [MIPLIB] gen-ip054 [MIPLIB] gen-ip002 [MIPLIB]
Rank / ISS The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query instance and all other instances. A smaller ISS value indicates greater similarity.
1 / 0.736 2 / 0.748 3 / 0.751 4 / 0.778 5 / 0.834
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
neos-3322547-alsek raw neos-2978205-isar raw neos-848589 raw gen-ip054 raw gen-ip002 raw

MIPLIB Top 5 Instances

These are the 5 instances that are most closely related to the query instance, according to the instance statistic-based similarity measure employed by MIPLIB 2017

Decomposed These decomposed images were created by GCG.
opt1217 decomposed neos-911970 decomposed neos-503737 decomposed mitre decomposed neos-1354092 decomposed
Name opt1217 [MIPLIB] neos-911970 [MIPLIB] neos-503737 [MIPLIB] mitre [MIPLIB] neos-1354092 [MIPLIB]
Rank / ISS The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query instance and all model groups. A smaller ISS value indicates greater similarity.
67 / 1.191 98 / 1.222 175 / 1.303 577 / 1.491 783 / 1.697
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
opt1217 raw neos-911970 raw neos-503737 raw mitre raw neos-1354092 raw

Instance Summary

The table below contains summary information for mad, the five most similar instances to mad according to the MIC, and the five most similar instances to mad according to MIPLIB 2017.

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance mad [MIPLIB] Koichi Fujii Mean-Absolute Deviation Model for Car Dealerships 0.000000 -
MIC Top 5 neos-3322547-alsek [MIPLIB] Jeff Linderoth (None provided) 0.735628 1
neos-2978205-isar [MIPLIB] Jeff Linderoth (None provided) 0.748367 2
neos-848589 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 0.750659 3
gen-ip054 [MIPLIB] Simon Bowly Randomly generated integer and binary programming instances. These results are part of an early phase of work aimed at generating diverse and challenging MIP instances for experimental testing. We have aimed to produce small integer and binary programming instances which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms. 0.778372 4
gen-ip002 [MIPLIB] Simon Bowly Randomly generated integer and binary programming instances. These results are part of an early phase of work aimed at generating diverse and challenging MIP instances for experimental testing. We have aimed to produce small integer and binary programming instances which are reasonably difficult to solve and have varied structure, eliciting a range of behaviour in state of the art algorithms. 0.833795 5
MIPLIB Top 5 opt1217 [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.191176 67
neos-911970 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.222094 98
neos-503737 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.303284 175
mitre [MIPLIB] MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.490549 577
neos-1354092 [MIPLIB] NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.697355 783


mad: Instance-to-Model Comparison Results

Model Group Assignment from MIPLIB: no model group assignment
Assigned Model Group Rank/ISS in the MIC: N.A. / N.A.

MIC Top 5 Model Groups

These are the 5 model group composite (MGC) images that are most similar to the decomposed CCM image for the query instance, according to the ISS metric.

These are model group composite (MGC) images for the MIC top 5 model groups.
Model group: scp Model group: markshare Model group: neos-pseudoapplication-21 Model group: timtab Model group: stein
Name scp markshare neos-pseudoapplication-21 timtab stein
Rank / ISS The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query instance and all other instances. A smaller ISS value indicates greater similarity.
1 / 1.244 2 / 1.299 3 / 1.319 4 / 1.373 5 / 1.397

Model Group Summary

The table below contains summary information for the five most similar model groups to mad according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 scp Shunji Umetani This is a random test model generator for SCP using the scheme of the following paper, namely the column cost c[j] are integer randomly generated from [1,100]; every column covers at least one row; and every row is covered by at least two columns. see reference: E. Balas and A. Ho, Set covering algorithms using cutting planes, heuristics, and subgradient optimization: A computational study, Mathematical Programming, 12 (1980), 37-60. We have newly generated Classes I-N with the following parameter values, where each class has five models. We have also generated reduced models by a standard pricing method in the following paper: S. Umetani and M. Yagiura, Relaxation heuristics for the set covering problem, Journal of the Operations Research Society of Japan, 50 (2007), 350-375. You can obtain the model generator program from the following web site. https://sites.google.com/site/shunjiumetani/benchmark 1.244043 1
markshare G. Cornuéjols, M. Dawande Market sharing problem 1.299164 2
neos-pseudoapplication-21 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.318660 3
timtab C. Liebchen, R. Möhring Public transport scheduling problem 1.373061 4
stein MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.396791 5