Filter Content By
Version
Text Search
${sidebar_list_label} - Back
Filter by Language
mip1.py
#!/usr/bin/env python3.11 # Copyright 2024, Gurobi Optimization, LLC # This example formulates and solves the following simple MIP model: # maximize # x + y + 2 z # subject to # x + 2 y + 3 z <= 4 # x + y >= 1 # x, y, z binary import gurobipy as gp from gurobipy import GRB try: # Create a new model m = gp.Model("mip1") # Create variables x = m.addVar(vtype=GRB.BINARY, name="x") y = m.addVar(vtype=GRB.BINARY, name="y") z = m.addVar(vtype=GRB.BINARY, name="z") # Set objective m.setObjective(x + y + 2 * z, GRB.MAXIMIZE) # Add constraint: x + 2 y + 3 z <= 4 m.addConstr(x + 2 * y + 3 * z <= 4, "c0") # Add constraint: x + y >= 1 m.addConstr(x + y >= 1, "c1") # Optimize model m.optimize() for v in m.getVars(): print(f"{v.VarName} {v.X:g}") print(f"Obj: {m.ObjVal:g}") except gp.GurobiError as e: print(f"Error code {e.errno}: {e}") except AttributeError: print("Encountered an attribute error")