Constraints in Gurobi

Answered

Shahrzad Valizadeh

July 07, 2024 08:56

• 
• 
• 

i have the following variable of:

b = {}
    for m in M:
        for demand_index in range(100):
            for t in range(tt):
                b1["O+", "1", m, demand_index, t] = model.addVar(vtype=GRB.INTEGER, name=f'b_{"O+"}_{"1"}_{m}_{demand_index}_{t}')

in which M = list(range(41, 0, -1))

Does the following constraint correspond to the attached constraint for different demand values?
term = gp.quicksum(b["O+", "1", m, demand_index, t] * weight[m] for m in M for demand_index in range(10))

0

• Official comment

  

  Simranjit Kaur

  • Gurobi Staff

  November 13, 2026 01:22

  This post is more than two years old. Some information may not be up to date. For current information, please check the Gurobi Documentation or Knowledge Base. If you need more help, please create a new post in the community forum, or try Gurobot, our chatbot interface offering instant, expert-level support.
• 

  Riley Clement

  • Gurobi Staff

  July 08, 2024 04:06

  Hi Shahrzad,

  Your term variable is currently being assigned the following (which is not a constraint, as discussed on another post):

  \[\sum_{demand=0}^{9}\sum_{m=1}^{41}b_{O+, 1, m, demand, t}weight_m\]

  Also note you can set M = range(1, 42) which is a bit cleaner.  Hope this helps.

  - Riley

  0

Post is closed for comments.