feasibility indicator numerics aggregations precedence variable_bound set_partitioning set_covering invariant_knapsack mixed_binary general_linear

Submitter Variables Constraints Density Status Group Objective MPS File
Gleb Belov 25462 33269 6.6754e-05 easy rpp 0 rpp22falsei.mps.gz

These are the instances 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 instances can only be handled by solvers accepting indicator constraints. For instances 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 instances with full paths to mzn/dzn files of each instance 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 instance 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

Instance Statistics

Detailed explanation of the following tables can be found here.

Size Related Properties
Original Presolved
Variables 25462 25152
Constraints 33269 32959
Binaries 10276 10276
Integers 15056 14746
Continuous 130 130
Implicit Integers 8610 8301
Fixed Variables 0 0
Nonzero Density 6.67540e-05 6.74644e-05
Nonzeroes 56547 55927
Constraint Classification Properties
Original Presolved
Total 24573 24573
Empty 0 0
Free 0 0
Singleton 0 0
Aggregations 7164 7164
Precedence 3193 3171
Variable Bound 8738 8760
Set Partitioning 1 1
Set Packing 0 0
Set Covering 0 210
Cardinality 0 0
Invariant Knapsack 1743 1533
Equation Knapsack 0 0
Bin Packing 0 0
Knapsack 0 0
Integer Knapsack 0 0
Mixed Binary 86 86
General Linear 3648 3648
Indicator 8696 8696


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

value min median mean max
Constraint %
Variable %

Best Known Solution(s)

No solution available for rpp22falsei .

Similar instances in collection

The following instances are most similar to rpp22falsei 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 Status Variables Binaries Integers Continuous Constraints Nonz. Submitter Group Objective Tags
oocsp-racks030e6cci easy 50862 32783 18079 0 92737 232944 Gleb Belov oocsp-racks 0 feasibility indicator numerics aggregations precedence variable_bound set_partitioning set_covering cardinality invariant_knapsack integer_knapsack general_linear
oocsp-racks030f7cci easy 50859 32779 18080 0 92792 233170 Gleb Belov oocsp-racks Infeasible infeasible feasibility indicator numerics aggregations precedence variable_bound set_partitioning set_covering cardinality invariant_knapsack integer_knapsack general_linear
ghoulomb4-9-10i easy 43424 15590 27834 0 56330 118062 Gleb Belov ghoulomb 44 indicator numerics aggregations precedence variable_bound invariant_knapsack integer_knapsack general_linear
gfd-schedulen25f5d20m10k3i easy 30916 14783 14556 1577 47093 88245 Gleb Belov gfd-schedule 5 indicator numerics aggregations precedence variable_bound set_partitioning set_packing cardinality invariant_knapsack equation_knapsack mixed_binary general_linear
mspsphard01i easy 21531 10868 10663 0 32864 59860 Gleb Belov mspsp 35 indicator numerics aggregations precedence variable_bound set_packing invariant_knapsack general_linear


title={Philosophy of the {MiniZinc} challenge},
publisher={Springer US},
author={Stuckey, P. J. and Becket, R. and Fischer, J.},
author="Belov, G.
and Stuckey, P. J.
and Tack, G.
and Wallace, M.",
editor="Rueher, M.",
title="Improved Linearization of Constraint Programming Models",
bookTitle="Principles and Practice of Constraint Programming: 22nd International Conference, CP 2016, Proceedings",
publisher="Springer International Publishing",

Last Update Mär 19, 2019 by Gregor Hendel
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