PuLP最小化选择的加权平均值

from pulp import *

# 创建问题实例
problem = LpProblem("Minimize Weighted Average", LpMinimize)

# 定义决策变量
decision_vars = LpVariable.dicts("Decision", range(1, 6), lowBound=0, upBound=1, cat='Binary')

# 定义权重
weights = [0.2, 0.3, 0.1, 0.25, 0.15]

# 定义目标函数
problem += lpSum([decision_vars[i] * weights[i-1] for i in range(1, 6)])

# 添加约束条件
problem += lpSum(decision_vars) == 3  # 选择3个项目

# 求解问题
problem.solve()

# 打印结果
print("最小化选择的加权平均值为:", value(problem.objective))
for v in problem.variables():
    print(v.name, "=", v.varValue)