Submitter Variables Constraints Density Status Group Objective MPS File
C. Liebchen, R. Möhring 397 371 1.18272e-02 easy timtab 764772 timtab1CUTS.mps.gz

Public transport scheduling problem

Imported from the MIPLIB2010 submissions.

Instance Statistics

Detailed explanation of the following tables can be found here.

Size Related Properties
Original Presolved
Variables 397 384
Constraints 371 371
Binaries 77 64
Integers 94 94
Continuous 226 226
Implicit Integers 0 0
Fixed Variables 13 0
Nonzero Density 0.0118272 0.0121153
Nonzeroes 1742 1726
Constraint Classification Properties
Original Presolved
Total 371 371
Empty 0 0
Free 0 0
Singleton 0 0
Aggregations 0 2
Precedence 6 8
Variable Bound 33 33
Set Partitioning 0 0
Set Packing 1 0
Set Covering 0 0
Cardinality 0 0
Invariant Knapsack 2 2
Equation Knapsack 0 0
Bin Packing 0 0
Knapsack 0 0
Integer Knapsack 0 0
Mixed Binary 221 219
General Linear 108 107
Indicator 0 0

Structure

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

value min median mean max
Components 1.531479
Constraint % 0.269542 1.14351 0.269542 6.46900
Variable % 0.520833 1.76768 0.781250 8.07292
Score 0.360961

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 764772 0 0 0 0 - 2018-10-11 Solution found during MIPLIB2017 problem selection.

Similar instances in collection

The following instances are most similar to timtab1CUTS 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
ic97_tension 703 176 4 523 319 2070 MIPLIB submission pool easy 3942
icir97_tension 2494 262 573 1659 1203 22333 MIPLIB submission pool easy 6375
csched007 1758 1457 0 301 351 6379 Tallys Yunes csched easy 351
neos-3610173-itata 844 77 0 767 747 2130 Jeff Linderoth neos-pseudoapplication-91 easy 148
neos-4338804-snowy 1344 1260 42 42 1701 6342 Jeff Linderoth neos-pseudoapplication-40 hard 1471

Reference

No bibliographic information available

Last Update Nov 09, 2018 by Gregor Hendel
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