约束数组 Julia

Question

我正在尝试获取一组约束，但我不断收到各种错误，而且我不知道自己做错了什么。

data 数组为 77x9（整数值）

foods是一个大小为77x1的列向量，数组类型的变量

lower是9x1的列向量，整数向量

我应该有 9 个约束条件

这是我的，

model2 = Model()
@variable(model2, foods[i=1:77] >= 0)  # Quantity of food

 for i ∈ 1:9
 for j ∈ 1:77
 @constraint(model2, c2[i], sum(data[j][i]*foods[j])<=lower[i])
 end 
 end

Answer 1

你想做的是

@constraint(model2, data' * foods .<= lower)

说明

让我们做一个玩具示例：

julia> @variable(model2, foods[i=1:3] >= 0)
3-element Vector{VariableRef}:
 foods[1]
 foods[2]
 foods[3]

julia> data = collect(reshape(1:12, 3, 4))
3×4 Matrix{Int64}:
 1  4  7  10
 2  5  8  11
 3  6  9  12

julia> lower = rand(101:104, 4)
4-element Vector{Int64}:
 104
 102
 102
 102

对于这种情况，您可以只使用矩阵乘法：

julia> data' * foods
4-element Vector{AffExpr}:
 foods[1] + 2 foods[2] + 3 foods[3]
 4 foods[1] + 5 foods[2] + 6 foods[3]
 7 foods[1] + 8 foods[2] + 9 foods[3]
 10 foods[1] + 11 foods[2] + 12 foods[3]

现在添加右侧约束（请注意，我们向量化了 <= 运算符：

julia> @constraint(model2, data' * foods .<= lower)
4-element Vector{ConstraintRef{Model, MathOptInterface.ConstraintIndex{MathOptInterface.ScalarAffineFunction{Float64}, MathOptInterface.LessThan{Float64}}, ScalarShape}}:
 foods[1] + 2 foods[2] + 3 foods[3] <= 104.0
 4 foods[1] + 5 foods[2] + 6 foods[3] <= 102.0
 7 foods[1] + 8 foods[2] + 9 foods[3] <= 102.0
 10 foods[1] + 11 foods[2] + 12 foods[3] <= 102.0

约束数组 Julia

Array of constraints Julia

optimization

mathematical-optimization

julia

julia-jump

ijulia-notebook

说明