netdiversion: Instance-to-Instance Comparison Results

Type: Instance
Submitter: Chris Cullenbine
Description: Directed network diversion problem
MIPLIB Entry

Parent Instance (netdiversion)

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

netdiversion Raw netdiversion Decomposed netdiversion Composite of MIC top 5 netdiversion Composite of MIPLIB top 5 netdiversion 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.
ponderthis0517-inf decomposed mad decomposed bppc8-02 decomposed gen-ip054 decomposed gen-ip016 decomposed
Name ponderthis0517-inf [MIPLIB] mad [MIPLIB] bppc8-02 [MIPLIB] gen-ip054 [MIPLIB] gen-ip016 [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 / 1.118 2 / 1.180 3 / 1.208 4 / 1.239 5 / 1.242
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIC top 5.
ponderthis0517-inf raw mad raw bppc8-02 raw gen-ip054 raw gen-ip016 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.
academictimetablesmall decomposed nursesched-medium-hint03 decomposed neos-933638 decomposed academictimetablebig decomposed chromaticindex1024-7 decomposed
Name academictimetablesmall [MIPLIB] nursesched-medium-hint03 [MIPLIB] neos-933638 [MIPLIB] academictimetablebig [MIPLIB] chromaticindex1024-7 [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.
368 / 1.754 429 / 1.777 652 / 1.865 673 / 1.875 950 / 2.435
Raw These images represent the CCM images in their raw forms (before any decomposition was applied) for the MIPLIB top 5.
academictimetablesmall raw nursesched-medium-hint03 raw neos-933638 raw academictimetablebig raw chromaticindex1024-7 raw

Instance Summary

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

INSTANCE SUBMITTER DESCRIPTION ISS RANK
Parent Instance netdiversion [MIPLIB] Chris Cullenbine Directed network diversion problem 0.000000 -
MIC Top 5 ponderthis0517-inf [MIPLIB] Rob Pratt Infeasible version of IBM Ponder This problem (with 52 characters and no spaces) from May 2017: https://www.research.ibm.com/haifa/ponderthis/challenges/May2017.html 1.118313 1
mad [MIPLIB] Koichi Fujii Mean-Absolute Deviation Model for Car Dealerships 1.180445 2
bppc8-02 [MIPLIB] Manuel Iori The models that we attach solve the "bar-relaxation", also known as the "Bin Packing Problem with Contiguity" or the "P||Cmax with contiguity". This is one of the most interesting relaxations for two dimensional cutting and packing problems. Its solution by means of an ILP software is the bottleneck of the primal decomposition methods that we attempted in the paper cited below. In detail, the files correspond to model (12)-(15) in the paper, applied to the instances of the Classes 4, 6 and 8 by Martello and Vigo (Management Science, 1998). 1.207930 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. 1.239084 4
gen-ip016 [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. Solved with XPRESS in a few seconds. 1.241604 5
MIPLIB Top 5 academictimetablesmall [MIPLIB] Joshua Friedman Academic timetabling integer program 1.754160 368
nursesched-medium-hint03 [MIPLIB] Haroldo Gambini Santos Nurse Scheduling Problems from the First International Nurse Rostering Competition - INRC 2010 1.777431 429
neos-933638 [MIPLIB] NEOS Server Submission Instance coming from the NEOS Server with unknown application 1.864723 652
academictimetablebig [MIPLIB] Joshua Friedman Academic timetabling integer program Reported solved after 1 1/2 days using Gurobi. 1.875239 673
chromaticindex1024-7 [MIPLIB] Pierre Le Bodic Simple edge-coloring model on chains of Petersen-like subgraphs, designed to fool MIP solvers into producing very large Branch-and-Bound trees. 2.435286 950


netdiversion: 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: stein Model group: scp Model group: neos-pseudoapplication-21 Model group: markshare Model group: enlight
Name stein scp neos-pseudoapplication-21 markshare enlight
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 / 1.583 2 / 1.620 3 / 1.654 4 / 1.703 5 / 1.778

Model Group Summary

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

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
MIC Top 5 stein MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.582749 1
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 1.620464 2
neos-pseudoapplication-21 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.653968 3
markshare G. Cornuéjols, M. Dawande Market sharing problem 1.703218 4
enlight A. Zymolka Model to solve model of a combinatorial game ``EnLight'' Imported from the MIPLIB2010 submissions. 1.778305 5