set-covering-problem

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #android #deep-learning #nodejs #awesome #cli #vue #pytorch #openai #open-source

set-covering-problem

(★ 11)

Implementation of different techniques to solve the Set Covering Problem (SCP).

set-covering-problem 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Set Covering Problem
### A computational study of different approaches with CPLEX

The present work deals with the implementation of several methods for the preprocessing and the exact resolution of the [**Set Covering Problem**](https://en.wikipedia.org/wiki/Set_cover_problem) (SCP) with techniques of **Mixed-Integer Linear Programming** (MILP).

The main ideas used in this project were provided by the works of E. Balas and A. Ho ([1](https://link.springer.com/chapter/10.1007/BFb0120886), [2](https://link.springer.com/chapter/10.1007/BFb0120885)).
The implemented approaches have been tested on the `scpnre1-scpnrf5` instances available on the [OR-Library](http://people.brunel.ac.uk/~mastjjb/jeb/orlib/scpinfo.html).
The results obtained are described in this [report](https://github.com/caerbannogwhite/set-covering-problem/tree/master/report/report.pdf).

The solver requires the following software:
- [CPLEX](https://www.ibm.com/analytics/cplex-optimizer), only if you want to build the `cpxsol`
- [Boost](https://www.boost.org/)
- [Armadillo](http://arma.sourceforge.net/)
- [OpenBLAS](http://www.openblas.net/) (required by Armadillo)
- [ARPACK](https://www.caam.rice.edu/software/ARPACK/) (required by Armadillo)
- [LAPACK](https://github.com/Reference-LAPACK/lapack) (required by Armadillo)
- [SuperLU](https://github.com/xiaoyeli/superlu) (required by Armadillo)

To install the last four libraries (required by Armadillo), on Ubuntu or Debian, you can run the
following command:

```sh
$ sudo apt update
$ sudo apt install cmake libopenblas-dev liblapack-dev libarpack2-dev libsuperlu-dev
```

Once you have installed them in your computer, you should change the `CPLEX_HOME` and the `BOOST_HOME` variables in `Makefile`.

To build the solver, type:
```sh
$ mkdir lib
$ make cpxsol   # to build the solver with cplex, or
$ make balsol   # to build the Balas solver
```

Try the solver:
```sh
$ ./lib/cpxsol --inputFile data/scpnre1.txt --solver cplex --timeLimit 10
```

### Available Features

|               | Available         |
|---------------|-------------------|
| **Presolver** | none (default)    |
|               | `cpxdom`          |
| **Solver**    | `cplex` (default) |
|               | `maxcol`          |

### Extensions

Future extensions of the project include performance improvements and the implementation of a solver (both heuristic and with optimality test) that does not depend on CPLEX.

set-covering-problem

set-covering-problem 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

set-covering-problem

set-covering-problem 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README