triptim7

aggregations variable_bound set_partitioning set_packing set_covering invariant_knapsack mixed_binary general_linear

Submitter Variables Constraints Density Status Group Objective MPS File
MIPLIB submission pool 27342 14427 1.32318e-03 easy triptim 2566.02 triptim7.mps.gz

Trip timetable optimization problem. Imported from the MIPLIB2010 submissions. Solved in 12470s on 4 cores using Gurobi 9.0. Solved with COPT 7.0 using up to 12 threads in less than 30 minutes.

Instance Statistics

Detailed explanation of the following tables can be found here.

Size Related Properties
Original Presolved
Variables 27342 24261
Constraints 14427 14415
Binaries 18619 15560
Integers 8716 8698
Continuous 7 3
Implicit Integers 0 0
Fixed Variables 8 0
Nonzero Density 0.00132318 0.00145729
Nonzeroes 521944 509648
Constraint Classification Properties
Original Presolved
Total 14427 14415
Empty 0 0
Free 0 0
Singleton 3 0
Aggregations 14 11
Precedence 1 0
Variable Bound 6 4
Set Partitioning 0 16
Set Packing 1898 1898
Set Covering 3784 1890
Cardinality 0 0
Invariant Knapsack 5 1897
Equation Knapsack 0 0
Bin Packing 0 0
Knapsack 0 0
Integer Knapsack 0 0
Mixed Binary 2 2
General Linear 8714 8697
Indicator 0 0

Structure

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

value min median mean max
Components 1.146128
Constraint % 0.00694 3.04277 0.0069400 20.2359
Variable % 0.00824 3.24991 0.0123655 19.6694
Score 0.319708

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 2566.02 0 0 0 Edward Rothberg 2019-12-18 Optimal solution found with Gurobi 9.0 in 12500s on 4 cores
1 2566.02 2566.02 0 0 0 - 2018-10-13 Solution found during MIPLIB2017 problem selection.

Similar instances in collection

The following instances are most similar to triptim7 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
triptim8 hard 27342 18619 8716 7 14427 521945 MIPLIB submission pool triptim 2566.065999999642 aggregations variable_bound set_partitioning set_packing set_covering invariant_knapsack mixed_binary general_linear
triptim4 hard 27226 18537 8682 7 14361 520532 MIPLIB submission pool triptim 9.818099999800323 aggregations precedence variable_bound set_partitioning set_packing set_covering invariant_knapsack general_linear
triptim1 easy 30055 20456 9592 7 15706 515436 MIPLIB submission pool triptim 22.8680999999999 benchmark benchmark_suitable aggregations precedence variable_bound set_partitioning set_packing set_covering invariant_knapsack general_linear
triptim2 hard 27326 20776 6543 7 14427 521898 MIPLIB submission pool triptim 12.0051 aggregations precedence variable_bound set_partitioning set_packing set_covering cardinality invariant_knapsack general_linear
supportcase34 easy 17879 11196 6682 1 15170 748887 Domenico Salvagnin 83.99999985999999 benchmark_suitable aggregations precedence variable_bound set_partitioning cardinality invariant_knapsack knapsack integer_knapsack mixed_binary general_linear

Reference

No bibliographic information available

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