Solve Python Pulp without variables

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I have a python pulp linear program which is minimizing costs. In the degenerate case where there are no ways to reduce costs I would like it to return the fixed cost. However pulp seems to add a __dummy variable in the case of no variables, which has a value of None. I have added a minimal working example below.

from pulp import *
model = LpProblem("Degenerate_Model",LpMinimize)

fixed_cost = 10
model += fixed_cost
print(model) #Prints MINIMIZE 10 
model.solve()
print(model.objective) #prints 0*__dummy + 10
print(value(model.objective)) #returns None. Desired output is 10

My desired output in the above example would be to return 10. Any help is greatly appreciated

pulp linear-programming python
2 Answers

You're absolutely right. This happens because __dummy has a varValue of None, while you didn't expect it to be included at all. I would file a bug report to ask them to exclude dummy variables from LpAffineExpression.value() - since pulp.value(model.objective) is a shortcut for model.objective.value().

For now, I'd use the following workaround: model.objective.valueOrDefault().

user_50153560

You could declare the fixed cost as a variable with a fixed value.

>>> model = LpProblem("Degenerate_Model",LpMinimize)
>>> fixed_cost = LpVariable('fixed cost', lowBound=10, upBound=10)
>>> model += fixed_cost
>>> model.solve()
>>> print(value(model.objective))
10.0
user_13590580
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