pulp
.. image:: https://travis-ci.org/coin-or/pulp.svg?branch=master :target: https://travis-ci.org/coin-or/pulp .. image:: https://img.shields.io/pypi/v/pulp :target: https://pypi.org/project/PuLP/ :alt: PyPI .. image:: https://img.shields.io/pypi/dm/pulp :target: https://pypi.org/project/PuLP/ :alt: PyPI - Downloads
PuLP is an linear and mixed integer programming modeler written in Python. With PuLP, it is simple to create MILP optimisation problems and solve them with the latest open-source (or proprietary) solvers. PuLP can generate MPS or LP files and call solvers such as GLPK, COIN-OR CLP/CBC
, CPLEX, GUROBI, MOSEK, XPRESS, CHOCO, MIPCL, HiGHS, SCIP/FSCIP_.
The documentation for PuLP can be found here <https://coin-or.github.io/pulp/>
_.
PuLP is part of the COIN-OR project <https://www.coin-or.org/>
_.
PuLP requires Python 3.7 or newer.
The easiest way to install PuLP is with pip
. If pip
is available on your system, type::
python -m pip install pulp
Otherwise follow the download instructions on the PyPi page <https://pypi.python.org/pypi/PuLP>
_.
Use LpVariable
to create new variables. To create a variable x with 0 ≤ x ≤ 3::
from pulp import *
x = LpVariable("x", 0, 3)
To create a binary variable, y, with values either 0 or 1::
y = LpVariable("y", cat="Binary")
Use LpProblem
to create new problems. Create a problem called "myProblem" like so::
prob = LpProblem("myProblem", LpMinimize)
Combine variables in order to create expressions and constraints, and then add them to the problem.::
prob += x + y <= 2
An expression is a constraint without a right-hand side (RHS) sense (one of =
, <=
or >=
). If you add an expression to a problem, it will become the objective::
prob += -4*x + y
To solve the problem with the default included solver::
status = prob.solve()
If you want to try another solver to solve the problem::
status = prob.solve(GLPK(msg = 0))
Display the status of the solution::
LpStatus[status]
> 'Optimal'
You can get the value of the variables using value
. ex::
value(x)
> 2.0
LpProblem
-- Container class for a Linear or Integer programming problem
LpVariable
-- Variables that are added into constraints in the LP problem
LpConstraint
-- Constraints of the general form
a1x1 + a2x2 + ... + anxn (<=, =, >=) b
LpConstraintVar
-- A special type of constraint for constructing column of the model in column-wise modelling
value()
-- Finds the value of a variable or expressionlpSum()
-- Given a list of the form [a1x1, a2x2, ..., an*xn] will construct a linear expression to be used as a constraint or variablelpDot()
-- Given two lists of the form [a1, a2, ..., an] and [x1, x2, ..., xn] will construct a linear expression to be used as a constraint or variableSeveral tutorial are given in documentation <https://coin-or.github.io/pulp/CaseStudies/index.html>
and pure code examples are available in examples/ directory <https://github.com/coin-or/pulp/tree/master/examples>
.
The examples use the default solver (CBC). To use other solvers they must be available (installed and accessible). For more information on how to do that, see the guide on configuring solvers <https://coin-or.github.io/pulp/guides/how_to_configure_solvers.html>
_.
If you want to install the latest version from GitHub you can run::
python -m pip install -U git+https://github.com/coin-or/pulp
On Linux and MacOS systems, you must run the tests to make the default solver executable::
sudo pulptest
The PuLP documentation is built with Sphinx <https://www.sphinx-doc.org>
. We recommended using a
virtual environment <https://docs.python.org/3/library/venv.html>
to build the documentation locally.
To build, run the following in a terminal window, in the PuLP root directory
::
cd pulp
python -m pip install -r requirements-dev.txt
cd doc
make html
A folder named html will be created inside the build/
directory.
The home page for the documentation is doc/build/html/index.html
which can be opened in a browser.
Instructions for making your first contribution to PuLP are given here <https://coin-or.github.io/pulp/develop/contribute.html>
_.
Comments, bug reports, patches and suggestions are very welcome!
PuLP is distributed under an MIT license.
Copyright J.S. Roy, 2003-2005
Copyright Stuart A. Mitchell
See the LICENSE file for copyright information.
.. _Python: http://www.python.org/
.. _GLPK: http://www.gnu.org/software/glpk/glpk.html .. _CBC: https://github.com/coin-or/Cbc .. _CPLEX: http://www.cplex.com/ .. _GUROBI: http://www.gurobi.com/ .. _MOSEK: https://www.mosek.com/ .. _XPRESS: https://www.fico.com/es/products/fico-xpress-solver .. _CHOCO: https://choco-solver.org/ .. _MIPCL: http://mipcl-cpp.appspot.com/ .. _SCIP: https://www.scipopt.org/ .. _HiGHS: https://highs.dev .. _FSCIP: https://ug.zib.de