Python Gurobi setting up objective function
I am using the following code to define the objective function:
objective = GBR.QUICKSUM(x[i,j] * c[i][j] for i in range(50) for j in range(50))
m.setObjective(objective)
However, it gives me an error stating that name 'GBR' is not defined
.
I have imported gurobipy
as *
.
I had no issue with defining the variables:
for i in range(50):
for j in range(50):
x[(i,j)] = m.addVar(lb=0, vtype=GRB.INTEGER, name='x_'+str(i)+'_'+str(j))
and the cost function c[i][j]
is a list of costs for each link X[i,j]
How should I define the objective for it to work?
python linear-programming gurobi
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I am using the following code to define the objective function:
objective = GBR.QUICKSUM(x[i,j] * c[i][j] for i in range(50) for j in range(50))
m.setObjective(objective)
However, it gives me an error stating that name 'GBR' is not defined
.
I have imported gurobipy
as *
.
I had no issue with defining the variables:
for i in range(50):
for j in range(50):
x[(i,j)] = m.addVar(lb=0, vtype=GRB.INTEGER, name='x_'+str(i)+'_'+str(j))
and the cost function c[i][j]
is a list of costs for each link X[i,j]
How should I define the objective for it to work?
python linear-programming gurobi
add a comment |
I am using the following code to define the objective function:
objective = GBR.QUICKSUM(x[i,j] * c[i][j] for i in range(50) for j in range(50))
m.setObjective(objective)
However, it gives me an error stating that name 'GBR' is not defined
.
I have imported gurobipy
as *
.
I had no issue with defining the variables:
for i in range(50):
for j in range(50):
x[(i,j)] = m.addVar(lb=0, vtype=GRB.INTEGER, name='x_'+str(i)+'_'+str(j))
and the cost function c[i][j]
is a list of costs for each link X[i,j]
How should I define the objective for it to work?
python linear-programming gurobi
I am using the following code to define the objective function:
objective = GBR.QUICKSUM(x[i,j] * c[i][j] for i in range(50) for j in range(50))
m.setObjective(objective)
However, it gives me an error stating that name 'GBR' is not defined
.
I have imported gurobipy
as *
.
I had no issue with defining the variables:
for i in range(50):
for j in range(50):
x[(i,j)] = m.addVar(lb=0, vtype=GRB.INTEGER, name='x_'+str(i)+'_'+str(j))
and the cost function c[i][j]
is a list of costs for each link X[i,j]
How should I define the objective for it to work?
python linear-programming gurobi
python linear-programming gurobi
edited Nov 20 '18 at 19:54
Tyler Johnson
asked Nov 20 '18 at 19:47
Tyler JohnsonTyler Johnson
11
11
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1 Answer
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Gurobi's quicksum is a global function. That means after
from gurobipy import *
m = Model() # Creates a Gurobi Model object.
# ... create your variables etc here
you can use it with
m.setObjective(quicksum(x[i,j] * c[i][j] for i in range(50) for j in range(50)))
By the way: you could use the addVars() method instead of the two nested for-loops to create your variables.
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Gurobi's quicksum is a global function. That means after
from gurobipy import *
m = Model() # Creates a Gurobi Model object.
# ... create your variables etc here
you can use it with
m.setObjective(quicksum(x[i,j] * c[i][j] for i in range(50) for j in range(50)))
By the way: you could use the addVars() method instead of the two nested for-loops to create your variables.
add a comment |
Gurobi's quicksum is a global function. That means after
from gurobipy import *
m = Model() # Creates a Gurobi Model object.
# ... create your variables etc here
you can use it with
m.setObjective(quicksum(x[i,j] * c[i][j] for i in range(50) for j in range(50)))
By the way: you could use the addVars() method instead of the two nested for-loops to create your variables.
add a comment |
Gurobi's quicksum is a global function. That means after
from gurobipy import *
m = Model() # Creates a Gurobi Model object.
# ... create your variables etc here
you can use it with
m.setObjective(quicksum(x[i,j] * c[i][j] for i in range(50) for j in range(50)))
By the way: you could use the addVars() method instead of the two nested for-loops to create your variables.
Gurobi's quicksum is a global function. That means after
from gurobipy import *
m = Model() # Creates a Gurobi Model object.
# ... create your variables etc here
you can use it with
m.setObjective(quicksum(x[i,j] * c[i][j] for i in range(50) for j in range(50)))
By the way: you could use the addVars() method instead of the two nested for-loops to create your variables.
answered Nov 20 '18 at 21:30
jonijoni
768157
768157
add a comment |
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