shipsched

aggregations precedence mixed_binary

Submitter Variables Constraints Density Status Group Objective MPS File
Marco Luebbecke 13594 45554 1.96316e-04 open 111972.99957841111* shipsched.mps.gz

A ship scheduling problem on the Kiel Canal Imported from MIPLIB2010.

Instance Statistics

Detailed explanation of the following tables can be found here.

Size Related Properties
Original Presolved
Variables 13594 7121
Constraints 45554 22105
Binaries 10549 4076
Integers 0 0
Continuous 3045 3045
Implicit Integers 0 0
Fixed Variables 0 0
Nonzero Density 0.000196316 0.000381037
Nonzeroes 121571 59979
Constraint Classification Properties
Original Presolved
Total 45554 22105
Empty 0 0
Free 0 0
Singleton 6312 0
Aggregations 1044 1044
Precedence 2206 6075
Variable Bound 0 0
Set Partitioning 0 0
Set Packing 0 0
Set Covering 0 0
Cardinality 0 0
Invariant Knapsack 0 0
Equation Knapsack 0 0
Bin Packing 0 0
Knapsack 0 0
Integer Knapsack 0 0
Mixed Binary 35992 14986
General Linear 0 0
Indicator 0 0

Structure

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

value min median mean max
Components 2.586587
Constraint % 0.0045200 0.175068 0.0045200 7.44176
Variable % 0.0293026 0.176247 0.0293026 6.24145
Score 0.639448

Best Known Solution(s)

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

## Warning in lapply(df["exactobjval"], as.numeric): NAs introduced by coercion
ID Objective Exact Int. Viol Cons. Viol Obj. Viol Submitter Date Description
2 111973.0 111973 0e+00 0 0 Edward Rothberg 2022-07-12 Obtained with Gurobi 9.5 using the NoRel heuristic.
1 114165.9 7e-07 0 0 Edward Rothberg 2019-12-13 Obtained with Gurobi 9.0

Similar instances in collection

The following instances are most similar to shipsched 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
neos-4285819-pedja open 721438 686647 0 34791 1518618 4866058 Jeff Linderoth neos-pseudoapplication-79 89.50319072956324* numerics aggregations precedence variable_bound set_partitioning invariant_knapsack mixed_binary
neos-4650160-yukon easy 1412 624 0 788 1969 6416 Jeff Linderoth neos-pseudoapplication-79 59.88499998695507 benchmark_suitable aggregations precedence variable_bound set_partitioning set_covering knapsack mixed_binary
l2p12 easy 11786 10906 590 290 21315 59629 Gleb Belov l2p 5 benchmark_suitable aggregations precedence variable_bound set_partitioning set_packing cardinality invariant_knapsack general_linear
neos-5081619-ganges easy 66432 7900 0 58532 187024 547574 Jeff Linderoth neos-pseudoapplication-59 Unbounded numerics aggregations precedence variable_bound set_packing mixed_binary
mario-t-hard5i easy 73475 31022 30948 11505 85190 238314 Gleb Belov mario -4482 indicator numerics aggregations precedence variable_bound set_partitioning set_packing invariant_knapsack mixed_binary general_linear

Reference

No bibliographic information available

Last Update Mar 04, 2024 by Julian Manns
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