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aligninq: Instance-to-Instance Comparison Results
| Type: | Instance |
| Submitter: | MIPLIB submission pool |
| Description: | Imported from the MIPLIB2010 submissions. |
| MIPLIB Entry |
Parent Instance (aligninq)
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-3230376-yser [MIPLIB] | neos-3218348-suir [MIPLIB] | fhnw-binschedule0 [MIPLIB] | neos-3230516-zala [MIPLIB] | npmv07 [MIPLIB] | |
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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 / 1.074 | 2 / 1.083 | 3 / 1.221 | 4 / 1.229 | 5 / 1.240 | |
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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-3218348-suir [MIPLIB] | nursesched-medium-hint03 [MIPLIB] | nursesched-sprint-hidden09 [MIPLIB] | nursesched-sprint-late03 [MIPLIB] | tw-myciel4 [MIPLIB] | |
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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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2 / 1.083 | 180 / 1.645 | 241 / 1.689 | 253 / 1.697 | 717 / 1.986 | |
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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 aligninq, the five most similar instances to aligninq according to the MIC, and the five most similar instances to aligninq according to MIPLIB 2017.
| INSTANCE | SUBMITTER | DESCRIPTION | ISS | RANK | |
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| Parent Instance | aligninq [MIPLIB] | MIPLIB submission pool | Imported from the MIPLIB2010 submissions. | 0.000000 | - |
| MIC Top 5 | neos-3230376-yser [MIPLIB] | Jeff Linderoth | (None provided) | 1.074109 | 1 |
| neos-3218348-suir [MIPLIB] | Jeff Linderoth | (None provided) | 1.083014 | 2 | |
| fhnw-binschedule0 [MIPLIB] | Simon Felix | Scheduling/assignment for an industrial production pipeline | 1.220628 | 3 | |
| neos-3230516-zala [MIPLIB] | Jeff Linderoth | (None provided) | 1.229024 | 4 | |
| npmv07 [MIPLIB] | Q. Chen | Unknown application | 1.240417 | 5 | |
| MIPLIB Top 5 | neos-3218348-suir [MIPLIB] | Jeff Linderoth | (None provided) | 1.083014 | 2 |
| nursesched-medium-hint03 [MIPLIB] | Haroldo Gambini Santos | Nurse Scheduling Problems from the First International Nurse Rostering Competition - INRC 2010 | 1.644839 | 180 | |
| nursesched-sprint-hidden09 [MIPLIB] | Haroldo Gambini Santos | Nurse Scheduling Problems from the First International Nurse Rostering Competition - INRC 2010 | 1.689027 | 241 | |
| nursesched-sprint-late03 [MIPLIB] | Haroldo Gambini Santos | Nurse Scheduling Problems from the First International Nurse Rostering Competition - INRC 2010 | 1.697177 | 253 | |
| tw-myciel4 [MIPLIB] | Arie Koster | Model to compute the treewidth of the Mycielski-4 instance from the DIMACS graph coloring database. Solved in June 2013 by CPLEX 12.5.1 (12 threads) in about 66 hours. The solving was performed in two steps: first solving with 50 GB tree memory limit (took 11307.42 seconds), after that, setting the tree memory limit to 80 GB and switching to depth first search (took 226152.14 seconds). | 1.986481 | 717 |
aligninq: 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 | neos-pseudoapplication-4 | neos-pseudoapplication-108 | neos-pseudoapplication-40 | neos-pseudoapplication-63 | neos-pseudoapplication-92 | |
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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 / 1.656 | 2 / 1.908 | 3 / 2.001 | 4 / 2.031 | 5 / 2.041 |
Model Group Summary
The table below contains summary information for the five most similar model groups to aligninq according to the MIC.
| MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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| MIC Top 5 | neos-pseudoapplication-4 | Jeff Linderoth | (None provided) | 1.656300 | 1 |
| neos-pseudoapplication-108 | NEOS Server Submission | Model coming from the NEOS Server with unknown application | 1.907861 | 2 | |
| neos-pseudoapplication-40 | Jeff Linderoth | (None provided) | 2.001143 | 3 | |
| neos-pseudoapplication-63 | Jeff Linderoth | (None provided) | 2.030736 | 4 | |
| neos-pseudoapplication-92 | NEOS Server Submission | Imported from the MIPLIB2010 submissions. | 2.041188 | 5 |
