Submitter Variables Constraints Density Status Group Objective MPS File
Gleb Belov 3253 6505 8.32208e-02 hard splice -394 splice1k1.mps.gz

Linearized Constraint Programming models of the MiniZinc Challenges 2012-2016. I should be able to produce versions with indicator constraints supported by Gurobi and CPLEX, however don’t know if you can use them and if there is a standard format. These MPS were produced by Gurobi 7.0.2 using the MiniZinc develop branch on eb536656062ca13325a96b5d0881742c7d0e3c38

Instance Statistics

Detailed explanation of the following tables can be found here.

Size Related Properties
Original Presolved
Variables 3253 3253
Constraints 6505 6505
Binaries 3252 3252
Integers 1 1
Continuous 0 0
Implicit Integers 0 1
Fixed Variables 0 0
Nonzero Density 0.0832208 0.0832208
Nonzeroes 1761020 1761020
Constraint Classification Properties
Original Presolved
Total 6505 6505
Empty 0 0
Free 0 0
Singleton 0 0
Aggregations 0 0
Precedence 0 0
Variable Bound 0 0
Set Partitioning 0 0
Set Packing 0 0
Set Covering 0 3252
Cardinality 0 0
Invariant Knapsack 60 0
Equation Knapsack 0 0
Bin Packing 3252 3252
Knapsack 3192 0
Integer Knapsack 0 0
Mixed Binary 0 0
General Linear 1 1
Indicator 0 0

Structure

Available nonzero structure and decomposition information. Further information can be found here.

value min median mean max
Components 0.301030
Constraint % 99.9846 99.9846 99.9846 99.9846
Variable % 99.9693 99.9693 99.9693 99.9693
Score 0.000307

Best Known Solution(s)

Find solutions below. Download the archive containing all solutions from the Download page.

ID Objective Exact Int. Viol Cons. Viol Obj. Viol Submitter Date Description
1 -394 -394 0 0 0 - 2018-10-12 Solution found during MIPLIB2017 problem selection.

Similar instances in collection

The following instances are most similar to splice1k1 in the collection. This similarity analysis is based on 100 scaled instance features describing properties of the variables, objective function, bounds, constraints, and right hand sides.

Instance Variables Binaries Integers Continuous Constraints Nonz. Submitter Group Status Objective
k1mushroom 8211 8210 1 0 16419 1697950 Gleb Belov k1mushroom easy -3288
hypothyroid-k1 2602 2601 1 0 5195 433884 Gleb Belov hypothyroid easy -2851
neos-2991472-kalu 12105 12096 0 9 18170 13709400 Jeff Linderoth neos-pseudoapplication-77 open 12*
supportcase18 13410 13410 0 0 240 28920 Michael Winkler easy 48
usafa 228648 216357 12291 0 1377561 16485100 Christopher Daniel Richards open 160.1671357657*

Reference

@Inbook{Belov2016,
author="Belov, Gleb
and Stuckey, Peter J.
and Tack, Guido
and Wallace, Mark",
editor="Rueher, Michel",
title="Improved Linearization of Constraint Programming Models",
bookTitle="Principles and Practice of Constraint Programming: 22nd International Conference, CP 2016, Toulouse, France, September 5-9, 2016, Proceedings",
year="2016",
publisher="Springer International Publishing",
pages="49--65",
isbn="978-3-319-44953-1",
doi="10.1007/978-3-319-44953-1_4",
url="http://dx.doi.org/10.1007/978-3-319-44953-1_4"
}

Last Update Nov 09, 2018 by Gregor Hendel
generated with R Markdown
© 2018 by Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB)
Imprint