shipschedule3shipsi

indicator numerics aggregations precedence variable_bound set_partitioning invariant_knapsack integer_knapsack mixed_binary general_linear

Submitter Variables Constraints Density Status Group Objective MPS File
Gleb Belov 10513 16727 1.77668e-04 easy shipschedule -265650 shipschedule3shipsi.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 10513 10288
Constraints 16727 15142
Binaries 4817 4817
Integers 4343 4343
Continuous 1353 1128
Implicit Integers 2248 2399
Fixed Variables 0 0
Nonzero Density 0.000177668 0.000180208
Nonzeroes 31243 28073
Constraint Classification Properties
Original Presolved
Total 13579 12219
Empty 0 0
Free 0 0
Singleton 0 0
Aggregations 3136 3136
Precedence 4850 3638
Variable Bound 3833 3685
Set Partitioning 151 151
Set Packing 0 0
Set Covering 0 0
Cardinality 0 0
Invariant Knapsack 844 844
Equation Knapsack 0 0
Bin Packing 0 0
Knapsack 0 0
Integer Knapsack 74 74
Mixed Binary 453 453
General Linear 238 238
Indicator 3148 3148

Structure

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

value min median mean max
Components
Constraint %
Variable %
Score

Best Known Solution(s)

No solution available for shipschedule3shipsi .

Similar instances in collection

The following instances are most similar to shipschedule3shipsi 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
shipschedule6shipsmixi easy 18770 10310 7104 1356 27823 55903 Gleb Belov shipschedule -301650 indicator numerics aggregations precedence variable_bound set_partitioning invariant_knapsack integer_knapsack mixed_binary general_linear
shipschedule8shipsmixuci easy 25206 13635 9763 1808 37821 75480 Gleb Belov shipschedule -389100 indicator numerics aggregations precedence variable_bound set_partitioning invariant_knapsack integer_knapsack mixed_binary general_linear
fjspeasy01i easy 17847 8849 8998 0 27264 46454 Gleb Belov fjsp 253 indicator numerics aggregations precedence variable_bound set_packing invariant_knapsack general_linear
diameterc-mstc-v20a190d5i easy 10613 5053 4352 1208 19686 38503 Gleb Belov diameterc 414 indicator numerics aggregations precedence variable_bound set_partitioning cardinality invariant_knapsack mixed_binary general_linear
rocI-3-11 easy 5132 3894 762 476 8165 20540 Joerg Rambau rocI -50403 numerics aggregations precedence variable_bound set_partitioning mixed_binary general_linear

Reference

@article{MZChPhil2010,
year={2010},
journal={Constraints},
volume={15},
number={3},
title={Philosophy of the {MiniZinc} challenge},
publisher={Springer US},
author={Stuckey, P. J. and Becket, R. and Fischer, J.},
pages={307--316},
}
@incollection{BelovEtAl_Lin16,
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",
year="2016",
publisher="Springer International Publishing",
pages="49--65",
}

Last Update 2024 by Mark Turner
generated with R Markdown
© by Zuse Institute Berlin (ZIB)
Imprint