ken_a - 1 year ago 194

Python Question

I have a linear integer programme I want to solve. I installed solver glpk (thanks to this answer) and pyomo. I wrote code like this:

`from pyomo.environ import *`

from pyomo.opt import SolverFactory

a = 370

b = 420

c = 2

model = ConcreteModel()

model.x = Var([1,2], domain=NonNegativeIntegers)

model.Objective = Objective(expr = a * model.x[1] + b * model.x[2], sense=minimize)

model.Constraint1 = Constraint(expr = model.x[1] + model.x[2] == c)

# ... more constraints

opt = SolverFactory('glpk')

results = opt.solve(model)

This produces solution to file

`results.yaml`

I have many problems I want to solve using the same model but with different

`a`

`b`

`c`

`a`

`b`

`c`

`model.x[1]`

`model.x[2]`

`a`

`b`

`c`

`model.x[1]`

`model.x[2]`

`results.yaml`

Is there any way I can access to solution values from code?

Thanks,

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Answer Source

I'm not sure if this is what you are looking for, but this is a way that I have some variables being printed in one of my scripts.

```
from pyomo.environ import *
from pyomo.opt import SolverFactory
from pyomo.core import Var
M = AbstractModel()
opt = SolverFactory('glpk')
# Vars, Params, Objective, Constraints....
instance = M.create_instance('input.dat') # reading in a datafile
results = opt.solve(instance, tee=True)
results.write()
instance.solutions.load_from(results)
for v in instance.component_objects(Var, active=True):
print ("Variable",v)
varobject = getattr(instance, str(v))
for index in varobject:
print (" ",index, varobject[index].value)
```

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