physiciansched3-4

aggregations precedence variable_bound set_packing set_covering invariant_knapsack binpacking knapsack mixed_binary general_linear

Submitter Variables Constraints Density Status Group Objective MPS File
Pelin Damci-Kurt 74119 239780 5.11265e-05 easy physiciansched 1480386.746666666 physiciansched3-4.mps.gz

Physician scheduling problem for hospitalist, radiology and kidney specialist groups. solved in 5533s on 6 cores using Gurobi 9.0

Instance Statistics

Detailed explanation of the following tables can be found here.

Size Related Properties
Original Presolved
Variables 74119 26715
Constraints 239780 74601
Binaries 65900 20124
Integers 0 2190
Continuous 8219 4401
Implicit Integers 0 2190
Fixed Variables 873 0
Nonzero Density 5.11265e-05 1.71646e-04
Nonzeroes 908634 342084
Constraint Classification Properties
Original Presolved
Total 239780 74601
Empty 10158 0
Free 0 0
Singleton 9499 0
Aggregations 0 30
Precedence 40372 20361
Variable Bound 139990 36647
Set Partitioning 0 0
Set Packing 2194 1121
Set Covering 543 1185
Cardinality 0 0
Invariant Knapsack 10763 4465
Equation Knapsack 0 0
Bin Packing 9128 3648
Knapsack 7794 1006
Integer Knapsack 0 0
Mixed Binary 9339 3197
General Linear 0 2941
Indicator 0 0

Structure

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

value min median mean max
Components 2.800717
Constraint % 0.00134 0.1211050 0.00134 12.82420
Variable % 0.00523 0.0823235 0.00523 7.40256
Score 0.745952

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
3 1480387 1480387 0 0 0 Ed Klotz 2022-05-25 Found with Gurobi v9.5.1rc2 using 8 threads in 40 minutes.
2 1480387 0 0 0 Edward Rothberg 2019-12-18 Optimal solution found with Gurobi 9.0 in 5500s on 6 cores
1 1480390 0 0 0 Robert Ashford and Alkis Vazacopoulus 2019-12-18 Found using ODH|CPlex

Similar instances in collection

The following instances are most similar to physiciansched3-4 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
physiciansched3-3 easy 79555 72141 0 7414 266227 1062479 Pelin Damci-Kurt physiciansched 2623271.326667 benchmark decomposition benchmark_suitable precedence variable_bound set_packing set_covering invariant_knapsack binpacking knapsack mixed_binary
physiciansched5-3 easy 14488 11501 0 2987 31925 156378 Pelin Damci-Kurt physiciansched 21100 decomposition benchmark_suitable precedence variable_bound set_packing set_covering invariant_knapsack binpacking mixed_binary
neos-5193246-nerang easy 14546 9792 0 4754 42256 175794 Jeff Linderoth neos-pseudoapplication-32 0.03821976217279999 benchmark_suitable aggregations precedence variable_bound set_partitioning cardinality invariant_knapsack knapsack mixed_binary
neos-5195221-niemur easy 14546 9792 0 4754 42256 176586 Jeff Linderoth neos-pseudoapplication-32 0.0038354326 benchmark benchmark_suitable aggregations precedence variable_bound set_partitioning cardinality invariant_knapsack knapsack mixed_binary
neos-555884 easy 3815 3800 15 0 4331 19067 NEOS Server Submission neos-pseudoapplication-32 1232700 decomposition benchmark_suitable aggregations precedence variable_bound set_partitioning cardinality equation_knapsack binpacking mixed_binary general_linear

Reference

No bibliographic information available

Last Update Mar 04, 2024 by Julian Manns
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