acc-tight

Type: Model Group
Submitter: J. Walser
Description: ACC basketball scheduling model

Parent Model Group (acc-tight)

All other model groups below were be compared against this "query" model group.

Model group: acc-tight
Model Group Composite (MGC) image Composite of the decomposed CCM images for every instance in the query model group.

Component Instances (Decomposed)

These are the decomposed CCM images for each instance in the query model group.

These are component instance images.
Component instance: acc-tight2 Component instance: acc-tight4 Component instance: acc-tight5
Name acc-tight2 acc-tight4 acc-tight5

MIC Top 5 Model Groups

These are the 5 MGC images that are most similar to the MGC image for the query model group, according to the ISS metric.

FIXME - These are model group composite images.
Model group: neos-pseudoapplication-48 Model group: neos-pseudoapplication-26 Model group: pb- Model group: network_design Model group: assign1
Name neos-pseudoapplication-48 neos-pseudoapplication-26 pb- network_design assign1
Rank / ISS The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query model group and all other model groups. A smaller ISS value indicates greater similarity.
1 / 1.726 2 / 1.730 3 / 1.857 4 / 1.873 5 / 1.892

Model Group Summary

The table below contains summary information for acc-tight, and for the five most similar model groups to acc-tight according to the MIC.

MODEL GROUP SUBMITTER DESCRIPTION ISS RANK
Parent Model Group acc-tight J. Walser ACC basketball scheduling model 0.000000 -
MIC Top 5 neos-pseudoapplication-48 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.725823 1
neos-pseudoapplication-26 NEOS Server Submission Imported from the MIPLIB2010 submissions. 1.729920 2
pb- Gleb Belov These are the models from MiniZinc Challenges 2012-2016 (see www.minizinc.org), compiled for MIP WITH INDICATOR CONSTRAINTS using the develop branch of MiniZinc and CPLEX 12.7.1 on 30 April 2017. Thus, these models can only be handled by solvers accepting indicator constraints. For models compiled with big-M/domain decomposition only, see my previous submission to MIPLIB.To recompile, create a directory MODELS, a list lst12_16.txt of the models with full paths to mzn/dzn files of each model per line, and say$> ~/install/libmzn/tests/benchmarking/mzn-test.py -l ../lst12_16.txt -slvPrf MZN-CPLEX -debug 1 -addOption "-timeout 3 -D fIndConstr=true -D fMIPdomains=false" -useJoinedName "-writeModel MODELS_IND/%s.mps" Alternatively, you can compile individual model as follows: $> mzn-cplex -v -s -G linear -output-time ../challenge_2012_2016/mznc2016_probs/zephyrus/zephyrus.mzn ../challenge_2012_2016/mznc2016_p/zephyrus/14__8__6__3.dzn -a -timeout 3 -D fIndConstr=true -D fMIPdomains=false -writeModel MODELS_IND/challenge_2012_2016mznc2016_probszephyruszephyrusmzn-challenge_2012_2016mznc2016_probszephyrus14__8__6__3dzn.mps 1.857126 3
network_design MIPLIB submission pool Imported from the MIPLIB2010 submissions. 1.872572 4
assign1 Robert Fourer Imported from the MIPLIB2010 submissions. 1.891998 5