申请 Gurobi 学术许可和安装 Gurobi

申请 Gurobi 学术许可和安装可以参考 Gurobi最新安装与学术许可申请教程（2025） - 知乎

配置 Python 环境

首先打开命令行终端，用 Conda 单独创建一个环境：

1conda create --name name_env

激活环境：

1conda activate name_env

用 Conda 包管理安装 Gurobi 到 Python 库中1：

1conda install -c gurobi gurobi

安装完之后，可以用下面的例子测试 Gurobi 是否能够正常使用：

 1import gurobipy as gp
 2from gurobipy import GRB
 3
 4def test_gurobi():
 5    try:
 6        # 创建一个新的模型
 7        model = gp.Model("test_model")
 8
 9        # 添加变量
10        x = model.addVar(name="x", vtype=GRB.CONTINUOUS, lb=0)
11        y = model.addVar(name="y", vtype=GRB.CONTINUOUS, lb=0)
12
13        # 更新模型以整合新变量
14        model.update()
15
16        # 设置目标函数：最大化 3x + 2y
17        model.setObjective(3 * x + 2 * y, GRB.MAXIMIZE)
18
19        # 添加约束条件
20        # x + y <= 4
21        model.addConstr(x + y <= 4, "c0")
22
23        # x <= 2
24        model.addConstr(x <= 2, "c1")
25
26        # y <= 3
27        model.addConstr(y <= 3, "c2")
28
29        # 优化模型
30        model.optimize()
31
32        # 检查优化状态
33        if model.status == GRB.OPTIMAL:
34            print(f"最优目标值: {model.ObjVal}")
35            print(f"x = {x.x}")
36            print(f"y = {y.x}")
37        else:
38            print("没有找到最优解。")
39    
40    except gp.GurobiError as e:
41        print(f"Gurobi错误: {e}")
42    
43    except Exception as e:
44        print(f"其他错误: {e}")
45
46if __name__ == "__main__":
47    test_gurobi()

如果能够正常使用会输出以下结果：

 1Optimize a model with 3 rows, 2 columns and 4 nonzeros
 2Model fingerprint: 0x5c2931af
 3Coefficient statistics:
 4  Matrix range     [1e+00, 1e+00]
 5  Objective range  [2e+00, 3e+00]
 6  Bounds range     [0e+00, 0e+00]
 7  RHS range        [2e+00, 4e+00]
 8Presolve removed 2 rows and 0 columns
 9Presolve time: 0.00s
10Presolved: 1 rows, 2 columns, 2 nonzeros
11
12Iteration    Objective       Primal Inf.    Dual Inf.      Time
13       0    1.2000000e+01   2.000000e+00   0.000000e+00      0s
14       1    1.0000000e+01   0.000000e+00   0.000000e+00      0s
15
16Solved in 1 iterations and 0.00 seconds (0.00 work units)
17Optimal objective  1.000000000e+01
18最优目标值: 10.0
19x = 2.0
20y = 2.0

  1. How do I install Gurobi for Python? – Gurobi Help Center ↩︎