pinam45 / uscp_instances

USCP instances

USCP_instances

This repository contain benchmark instances for the Unicost Set Cover Problem, some contains cost information for the Set Cover Problem and some are unicost.

These instances were gathered to be used with the solver from USCP. For each instances group, a comma separated list of instances names is given. This list can be used with the USCP solver as command line parameter to solve the instances with the implemented algorithms.

All the instances are available online on a source website, this repository was created as a backup.

Information about (2018) state of the art problem preprocessing and solving approaches with the best know solutions for these instances can be found in [Kritter2019].

Comma separated list of instances names:

4.1,4.2,4.3,4.4,4.5,4.6,4.7,4.8,4.9,4.10,5.1,5.2,5.3,5.4,5.5,5.6,5.7,5.8,5.9,5.10,6.1,6.2,6.3,6.4,6.5,A.1,A.2,A.3,A.4,A.5,B.1,B.2,B.3,B.4,B.5,C.1,C.2,C.3,C.4,C.5,D.1,D.2,D.3,D.4,D.5,E.1,E.2,E.3,E.4,E.5,NRE.1,NRE.2,NRE.3,NRE.4,NRE.5,NRF.1,NRF.2,NRF.3,NRF.4,NRF.5,NRG.1,NRG.2,NRG.3,NRG.4,NRG.5,NRH.1,NRH.2,NRH.3,NRH.4,NRH.5,CLR10,CLR11,CLR12,CLR13,CYC6,CYC7,CYC8,CYC9,CYC10,CYC11,RAIL507,RAIL516,RAIL582,RAIL2536,RAIL2586,RAIL4284,RAIL4872,STS9,STS15,STS27,STS45,STS81,STS135,STS243,STS405,STS729,STS1215,STS2187

OR-Library (87)

For more information about the instances and the files format, see the source website and the related README.

base instances (70)

Set	Instances	Rows	Columns	Density	Cost range
4	10	200	1000	2%	[1;100]
5	10	200	2000	2%	[1;100]
6	5	200	1000	5%	[1;100]
A	5	300	3000	2%	[1;100]
B	5	300	3000	5%	[1;100]
C	5	400	4000	2%	[1;100]
D	5	400	4000	5%	[1;100]
E	5	50	500	20%	[1;1]
NRE	5	500	5000	10%	[1;100]
NRF	5	500	5000	20%	[1;100]
NRG	5	1000	10000	2%	[1;100]
NRH	5	1000	10000	5%	[1;100]

Comma separated list of instances names:

4.1,4.2,4.3,4.4,4.5,4.6,4.7,4.8,4.9,4.10,5.1,5.2,5.3,5.4,5.5,5.6,5.7,5.8,5.9,5.10,6.1,6.2,6.3,6.4,6.5,A.1,A.2,A.3,A.4,A.5,B.1,B.2,B.3,B.4,B.5,C.1,C.2,C.3,C.4,C.5,D.1,D.2,D.3,D.4,D.5,E.1,E.2,E.3,E.4,E.5,NRE.1,NRE.2,NRE.3,NRE.4,NRE.5,NRF.1,NRF.2,NRF.3,NRF.4,NRF.5,NRG.1,NRG.2,NRG.3,NRG.4,NRG.5,NRH.1,NRH.2,NRH.3,NRH.4,NRH.5

CYC CLR instances (10)

Instance	Rows	Columns	Density	Cost range
CYC6	240	192	2.1%	[1;1]
CYC7	672	448	0.9%	[1;1]
CYC8	1792	1024	0.4%	[1;1]
CYC9	4608	2304	0.2%	[1;1]
CYC10	11520	5120	0.1%	[1;1]
CYC11	28160	11264	0.04%	[1;1]
CLR10	511	210	12%	[1;1]
CLR11	1023	330	12%	[1;1]
CLR12	2047	495	12%	[1;1]
CLR13	4095	715	12%	[1;1]

Comma separated list of instances names:

CLR10,CLR11,CLR12,CLR13,CYC6,CYC7,CYC8,CYC9,CYC10,CYC11

RAIL instances (7)

Instance	Rows	Columns	Density	Cost range
RAIL507	507	63009	1.3%	[1;2]
RAIL516	516	47311	1.3%	[1;2]
RAIL582	582	55515	1.2%	[1;2]
RAIL2536	2536	1081841	0.4%	[1;2]
RAIL2586	2586	920683	0.3%	[1;2]
RAIL4284	4284	1092610	0.2%	[1;2]
RAIL4872	4872	968672	0.2%	[1;2]

Comma separated list of instances names:

RAIL507,RAIL516,RAIL582,RAIL2536,RAIL2586,RAIL4284,RAIL4872

Steiner triple covering problem (11)

For more information about the instances and the files format, see the source website (and this website for the 2 last instances) and the related README.

Instances (11)

Instance	Rows	Columns	Density	Cost range
STS9	12	9	33.3%	[1;1]
STS15	35	15	20%	[1;1]
STS27	117	27	11.1%	[1;1]
STS45	330	45	6.7%	[1;1]
STS81	1080	81	3.7%	[1;1]
STS135	3015	135	2.2%	[1;1]
STS243	9801	243	1.2%	[1;1]
STS405	27270	405	0.7%	[1;1]
STS729	88452	729	0.4%	[1;1]
STS1215	245835	1215	0.2%	[1;1]
STS2187	796797	2187	0.1%	[1;1]

Comma separated list of instances names:

STS9,STS15,STS27,STS45,STS81,STS135,STS243,STS405,STS729,STS1215,STS2187

References

@Article{Kritter2019,
  author       = {Julien Kritter and Mathieu Br{\'e}villiers and Julien Lepagnot and Lhassane Idoumghar},
  title        = {On the optimal placement of cameras for surveillance and the underlying set cover problem},
  journaltitle = {Applied Soft Computing},
  date         = {2019},
  volume       = {74},
  pages        = {133-153},
  doi          = {10.1016/j.asoc.2018.10.025},
}