Branching priority for a sub-set of variables in Gurobipy

Answered

Abdalrahman Algendi

• September 15, 2023 09:54

Hey 

I am using Gurobipy and I would like to use the BranchPriorit attribute to set a branching priority for a specific set of variables.

I have defined the following variables:

for t in T:
    for f in F:
        for n in CAREGIVERS:
            if y_[t, f, n] == 1:
                for i in PATIENTS:
                    if u_[t, f, i, n] == 1:
                        if S[(t, i)] >= 1:
                            for s in range(1, (S[(t, i)] + 1)):
                                for j in PATIENTS:
                                    if u_[t, f, j, n] == 1:
                                        if S[(t, j)] >= 1:
                                            for z in range(1, (S[(t, j)] + 1)):
                                                if i != j or s != z:
                                                    Xcc[t, f, i, s, j, z, n] = r.addVar(
                                                        vtype=GRB.BINARY,
                                                        name="Xcc[%d,%d,%s,%d,%s,%d,%s]"
                                                        % (t, f, i, s, j, z, n),
                                                    )

I would like to set a branching priority for Xcc only when the parameters H[t,f,i,s] = 1. 

Related to

• Attribute

0

• 

  Maliheh Aramon

  Gurobi Staff

  • September 16, 2023 00:28

  Hi, 

  You can use the BranchPriority attribute to define a branching priority for the subset of variables you are interested in. The variables with larger branching priority values will take priority over variables with smaller values.

  Best regards,

  Maliheh

  0

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