PuLP and Pyomo

Model linear and mixed-integer optimisation problems in Python and hand them to solvers.

Intermediate

import pulp
m = pulp.LpProblem("plan", pulp.LpMaximize)
x = pulp.LpVariable("x", 0); y = pulp.LpVariable("y", 0)
m += 3 * x + 2 * y; m += x + y <= 4; m += x + 3 * y <= 6
m.solve(); x.value(), y.value()

Pyomo also handles non-linear and dynamic models (e.g. power-system dispatch).

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