调试帮助: Python PuLP中的混合整数线性规划问题

pip install pulp

import pulp

prob = pulp.LpProblem("MILP_Problem", pulp.LpMaximize)

x = pulp.LpVariable('x', lowBound=0, cat='Continuous')
y = pulp.LpVariable('y', lowBound=0, cat='Integer')

prob += 3*x + 2*y

prob += x + 2*y <= 100
prob += x + y <= 80
prob += x <= 40

prob.solve()

print("Status:", pulp.LpStatus[prob.status])
print("Optimal Solution:")
for v in prob.variables():
    print(v.name, "=", v.varValue)
print("Objective =", pulp.value(prob.objective))

import pulp

# 使用 GLPK 求解器
prob.solve(pulp.GLPK_CMD())

prob.solve(pulp.PULP_CBC_CMD(msg=True))