pyepo.model.omo.omomodel

Abstract optimization model based on Pyomo

Module Contents

Classes

optOmoModel

This is an abstract class for Pyomo-based optimization model

class pyepo.model.omo.omomodel.optOmoModel(solver='glpk')

Bases: pyepo.model.opt.optModel

This is an abstract class for Pyomo-based optimization model

_model

Pyomo model

Type:

PyOmo model

solver

optimization solver in the background

Type:

str

__repr__()

Return repr(self).

setObj(c)

A method to set objective function

Parameters:

c (np.ndarray / list) – cost of objective function

solve()

A method to solve model

Returns:

optimal solution (list) and objective value (float)

Return type:

tuple

copy()

A method to copy model

Returns:

new copied model

Return type:

optModel

addConstr(coefs, rhs)

A method to add new constraint

Parameters:

• coefs (np.ndarray / list) – coeffcients of new constraint

• rhs (float) – right-hand side of new constraint

Returns:

new model with the added constraint

Return type:

optModel