Shahrzad Valizadeh

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Activity overview

Latest activity by Shahrzad Valizadeh
  • Shahrzad Valizadeh commented,

    Thank you so much Riley for your great comment and guidance. 

  • Shahrzad Valizadeh commented,

    Thank you Riley for your response. To clarify: I have a model that is infeasible, and I'm trying to solve it using the Two-Phase method. At the end of Phase One, the summation of artificial variabl...

  • Shahrzad Valizadeh commented,

    My question is, while the RMP is a minimization problem and a new variable with its corresponding coefficients is going to be added to the model, how will the constraints and objective function be ...

  • Shahrzad Valizadeh created a post,

    Constraints in Gurobi

    Awaiting user input

    i have the following lists list1: [(1, [43, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 9, 9, 9, 0, 0, 0, 0, 0, 0, 7, 2, 2, 5, 0, 0, 0, 7, 6, 0, 3, 2, 4, 4, 0, 0, 0, 0, ...

  • Shahrzad Valizadeh created a post,

    Constraint in Gurobi

    Answered

    I have the following constraint in my model:   Through using the column generation, I'm going to add a new variable to the model. Definitely the coefficient corresponding to the new variable would...

  • Shahrzad Valizadeh created a post,

    Constraints in Gurobi

    Answered

    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=G...

  • Shahrzad Valizadeh commented,

    Thank you so much Riley for your comment. As I'm using:    state_OPM_term = gp.quicksum((b1["O+", "1", m, t] - (0.1 * gp.quicksum(b2["O+", "1", m, demand, t] for demand in D))* weights["O+", "1",...

  • Shahrzad Valizadeh commented,

    Thank you Riley for your prompt response.

  • Shahrzad Valizadeh commented,

  • Shahrzad Valizadeh created a post,

    Constraints in Gurobi

    Answered

    I have the following constraint:            model.addConstr(aux1["O+", "1", m, t] == demand - sum(i1["O+", "1", m, t] for m in range(1, m)))            model.addConstr(aux2["O+", "1", m, t] == gp.m...