Use mod function in a constraint using Python Pulp

Question

I am writing a LpProblem and I need to create a constraint where the sum of some variables is multiples of 100... 100, 200, 300...

I am trying the next expressions using mod(), round() and int() but none works because they don't support LpAffineExpression.

probl += lpSum([vars[h] for h in varSKU if h[2] == b]) % 100 == 0

probl += lpSum([vars[h] for h in varSKU if h[2] == b]) / 100 == int(lpSum([vars[h] for h in varSKU if h[2] == b]) / 100)

probl += lpSum([vars[h] for h in varSKU if h[2] == b]) / 100 == round(lpSum([vars[h] for h in varSKU if h[2] == b]) / 100)

Can you give me some ideas for write this constraint.

Thank you!

sascha · Accepted Answer · 2017-12-21 16:49:31Z

1

One fairly simple approach:

introduce an integer-variable I
build your constraint as: probl += lpSum([vars[h] for h in varSKU if h[2] == b]) == I*100
(constrain I as needed: e.g. I >= 1; I <= N)

Keep in mind: when having multiple constraints and the multiples of 100 are not necessarily the same for your constraints, you will need one auxiliary variable I_x for each constraint!

(And: you can't use python's operators in general within pulp or any other LP-modelling sytem (round, int, mod, ceil, ...)! You have to accept the rules/form those modelling-systems allow: in this case -> LpAffineExpression)

edited Dec 21, 2017 at 16:49

answered Dec 21, 2017 at 16:43

sascha

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Sri Pallavi Over a year ago

Where should the integer - variable I be placed in the objective function of the model probl?

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