Conditional Constraint issue

Mayukh Chakravartti

2020年04月28日 13:25

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x is a binary variable defined over time slots k
y is a binary variable defined over time slots k
if the value of x change from time slot k to time slot k+1, the value of y in timeslot k will be 1, otherwise it will be 0

I added the following code where K is the set of timeslots and k is an individual timeslot

for k in K:
model.addConstr((y[k]==1) >> (x[k]+x[K[K.index(k)+1]]==1))
model.addConstr((y[k]==0) >> (x[k]-x[K[K.index(k)+1]]==0))

There are separate constraints for variable x and even though i am optimizing the model to minimize on a certain function x, Gurobi is setting all the values of y = 0 and thereby not minimizing that function of x. If i take out these constraints, I am getting the expected result. Am I doing something wrong?

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  Simranjit Kaur

  • Gurobi Staff

  2025年06月23日 03:14 編集済み

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