gurobipy_binary_mip_linear_objective_with_constraints.py

1import gurobipy as gp
2from gurobipy import GRB
3
4try:
5
6    # Create a new model
7    m = gp.Model("mip1")
8
9    # Create variables
10    x = m.addVar(vtype=GRB.BINARY, name="x")
11    y = m.addVar(vtype=GRB.BINARY, name="y")
12    z = m.addVar(vtype=GRB.BINARY, name="z")
13
14    # Set objective
15    m.setObjective(x + y + 2 * z, GRB.MAXIMIZE)
16
17    # Add constraint: x + 2 y + 3 z <= 4
18    m.addConstr(x + 2 * y + 3 * z <= 4, "c0")
19
20    # Add constraint: x + y >= 1
21    m.addConstr(x + y >= 1, "c1")
22
23    # Optimize model
24    m.optimize()
25
26    for v in m.getVars():
27        print(f"{v.VarName} {v.X:g}")
28
29    print(f"Obj: {m.ObjVal:g}")
30
31except gp.GurobiError as e:
32    print(f"Error code {e.errno}: {e}")
33
34except AttributeError:
35    print("Encountered an attribute error")