pyepo.model.omo

Optimization Model based on Pyomo

Submodules

Classes

`optOmoModel`	This is an abstract class for Pyomo-based optimization model
`shortestPathModel`	This class is optimization model for shortest path problem
`knapsackModel`	This class is optimization model for knapsack problem
`knapsackModelRel`	This class is relaxed optimization model for knapsack problem.

Package Contents

class pyepo.model.omo.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

solver = 'glpk'

__repr__()

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

class pyepo.model.omo.shortestPathModel(grid, solver='glpk')

Bases: pyepo.model.omo.omomodel.optOmoModel

This class is optimization model for shortest path problem

_model

Pyomo model

Type:: PyOmo model

solver

optimization solver in the background

Type:: str

grid

size of grid network

Type:: tuple of int

arcs

list of arcs

Type:: list

grid

arcs = []

_getArcs()

A method to get list of arcs for grid network

Returns:: arcs
Return type:: list

_getModel(): A method to build pyomo model

class pyepo.model.omo.knapsackModel(weights, capacity, solver='glpk')

Bases: pyepo.model.omo.omomodel.optOmoModel

This class is optimization model for knapsack problem

_model

Pyomo model

Type:: PyOmo model

solver

optimization solver in the background

Type:: str

weights

weights of items

Type:: np.ndarray

capacity

total capacity

Type:: np.ndarray

items

list of item index

Type:: list

weights

capacity

items

_getModel(): A method to build pyomo model

relax(): A method to get linear relaxation model

class pyepo.model.omo.knapsackModelRel(weights, capacity, solver='glpk')

Bases: knapsackModel

This class is relaxed optimization model for knapsack problem.

_getModel(): A method to build pyomo

relax(): A forbidden method to relax MIP model