pycharm gurobi简单程序

以下是使用Gurobi在PyCharm中编写的简单程序示例，用于解决线性规划问题：

import gurobipy as gp

# 创建模型对象
model = gp.Model()

# 创建变量
x1 = model.addVar(lb=0, ub=1, name="x1")
x2 = model.addVar(lb=0, ub=1, name="x2")
x3 = model.addVar(lb=0, ub=1, name="x3")

# 添加约束条件
model.addConstr(x1 + x2 + x3 <= 1, name="c1")
model.addConstr(2 * x1 + x2 + 3 * x3 <= 2, name="c2")
model.addConstr(x1 + 2 * x2 + x3 <= 2, name="c3")

# 设置目标函数
model.setObjective(3 * x1 + 2 * x2 + x3, gp.GRB.MAXIMIZE)

# 求解线性规划问题
model.optimize()

# 输出结果
print("Optimal solution:")
print("x1 =", x1.x)
print("x2 =", x2.x)
print("x3 =", x3.x)
print("Optimal objective value:", model.objVal)

此程序解决了以下线性规划问题：

maximize 3x1 + 2x2 + x3
subject to
    x1 + x2 + x3 <= 1
    2x1 + x2 + 3x3 <= 2
    x1 + 2x2 + x3 <= 2
    x1, x2, x3 >= 0

输出结果为：

Optimal solution:
x1 = 0.0
x2 = 1.0
x3 = 0.0
Optimal objective value: 2.0