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script.py
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script.py
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from __future__ import division
from pyomo.environ import *
from pyomo.opt import SolverFactory
import diet
# Create a solver
opt = SolverFactory('glpk')
data = DataPortal()
data.load(filename='diet.dat')
# Create a model instance and optimize
instance = diet.model.create_instance(data)
instance.dual = Suffix(direction=Suffix.IMPORT)
results = opt.solve(instance)
print " "
print "************** Resultados *************"
print "Funcion objetivo", instance.cost()
#Imprimir variables
print " "
print "Variables"
for f in instance.F:
print f, instance.x[f].value
print " "
print "Variabl dual de restriccion de volumen"
print instance.dual[instance.volume]
print " "
print "Variabl dual de restricciones de nutrientes minimos"
for j in instance.N:
print j, instance.dual[instance.nutrient_limit_min[j]]
print " "
print "Sensibilidad respecto a Vmax"
#Mutar un parametro y volver a resolver, ojo que debe ser mutable
for valores in [30,40,50,60]:
#re definir el valor de Vmax
instance.Vmax.value=valores
#volver a resolver
results = opt.solve(instance)
#imprimir vmax y funcion objetivo
print valores, instance.cost()