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moj-mining: Instance-to-Instance Comparison Results
Type: | Instance |
Submitter: | Alexandra M. Newman |
Description: | open pit mine production scheduling problem with inventory |
MIPLIB Entry |
Parent Instance (moj-mining)
All other instances below were be compared against this "query" instance.![]() ![]() |
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Raw
This is the CCM image before the decomposition procedure has been applied.
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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.
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Composite of MIC Top 5
Composite of the five decomposed CCM images from the MIC Top 5.
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Composite of MIPLIB Top 5
Composite of the five decomposed CCM images from the MIPLIB Top 5.
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Model Group Composite Image
Composite of the decomposed CCM images for every instance in the same model group as this query.
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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.
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Name | neos-2987310-joes [MIPLIB] | neos-1367061 [MIPLIB] | neos-3025225-shelon [MIPLIB] | ns1828997 [MIPLIB] | scpm1 [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.
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1 / 0.708 | 2 / 1.096 | 3 / 1.119 | 4 / 1.146 | 5 / 1.182 | |
Raw
These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
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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.
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Name | neos-2987310-joes [MIPLIB] | neos-2987202-jeir [MIPLIB] | gasprod1-1 [MIPLIB] | gasprod2-1 [MIPLIB] | gasprod2-2 [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.
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1 / 0.708 | 18 / 1.291 | 899 / 2.348 | 916 / 2.450 | 920 / 2.460 | |
Raw
These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
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Instance Summary
The table below contains summary information for moj-mining, the five most similar instances to moj-mining according to the MIC, and the five most similar instances to moj-mining according to MIPLIB 2017.
INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Instance | moj-mining [MIPLIB] | Alexandra M. Newman | open pit mine production scheduling problem with inventory | 0.000000 | - |
MIC Top 5 | neos-2987310-joes [MIPLIB] | Jeff Linderoth | (None provided) | 0.707658 | 1 |
neos-1367061 [MIPLIB] | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.096190 | 2 | |
neos-3025225-shelon [MIPLIB] | Hans Mittelmann | Collection of anonymous submissions to the NEOS Server for Optimization | 1.118708 | 3 | |
ns1828997 [MIPLIB] | NEOS Server Submission | Instance coming from the NEOS Server with unknown application. | 1.145886 | 4 | |
scpm1 [MIPLIB] | Shunji Umetani | This is a random test instance 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 instances. We have also generated reduced instances 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 instance generator program from the following web site. https://sites.google.com/site/shunjiumetani/benchmark | 1.181586 | 5 | |
MIPLIB Top 5 | neos-2987310-joes [MIPLIB] | Jeff Linderoth | (None provided) | 0.707658 | 1 |
neos-2987202-jeir [MIPLIB] | Jeff Linderoth | (None provided) | 1.290699 | 18 | |
gasprod1-1 [MIPLIB] | Andrew Stamps | Production planning model for an industrial gas process. Three instances of the model included. | 2.348096 | 899 | |
gasprod2-1 [MIPLIB] | Andrew Stamps | Production planning model of a second industrial gas system. Two model instances included. | 2.450042 | 916 | |
gasprod2-2 [MIPLIB] | Andrew Stamps | Production planning model of a second industrial gas system. Two model instances included. | 2.460406 | 920 |
moj-mining: 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.
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Name | scp | stein | markshare | neos-pseudoapplication-21 | neos-pseudoapplication-74 | |
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.
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1 / 1.521 | 2 / 1.619 | 3 / 1.745 | 4 / 1.746 | 5 / 1.830 |
Model Group Summary
The table below contains summary information for the five most similar model groups to moj-mining according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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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 | 1.521428 | 1 |
stein | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 1.618568 | 2 | |
markshare | G. Cornuéjols, M. Dawande | Market sharing problem | 1.745498 | 3 | |
neos-pseudoapplication-21 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 1.745718 | 4 | |
neos-pseudoapplication-74 | Jeff Linderoth | (None provided) | 1.830301 | 5 |