Question

我偶然发现了一个我希望从Julia转换为Python的软件（对Julia没有多少经验）。我遇到的主要问题是我不明白我在标注的部分中发生了什么变化#PROBLEM BELOW / ABOVE

skaters_teams是一个180 x 10矩阵（180名选手和10支球队），球队存储为二进制数组，其中skaters_teams [0]给出了球员0 ex的数组：[1,0,0,0,0， 0,0,0,0,0]。

m = Model(solver=GLPKSolverMIP()) 
# Variable for skaters in lineup 
@defVar(m, skaters_lineup[i=1:num_skaters], Bin) 

# Variable for goalie in lineup 
@defVar(m, goalies_lineup[i=1:num_goalies], Bin) 

# One goalie constraint 
@addConstraint(m, sum{goalies_lineup[i], i=1:num_goalies} == 1) 

# Eight Skaters constraint 
@addConstraint(m, sum{skaters_lineup[i], i=1:num_skaters} == 8) 

# between 2 and 3 centers 
@addConstraint(m, sum{centers[i]*skaters_lineup[i], i=1:num_skaters} <= 3) 
@addConstraint(m, 2 <= sum{centers[i]*skaters_lineup[i], i=1:num_skaters}) 

# between 3 and 4 wingers 
@addConstraint(m, sum{wingers[i]*skaters_lineup[i], i=1:num_skaters} <= 4) 
@addConstraint(m, 3<=sum{wingers[i]*skaters_lineup[i], i=1:num_skaters}) 

# between 2 and 3 defenders 
@addConstraint(m, 2 <= sum{defenders[i]*skaters_lineup[i], i=1:num_skaters}) 
@addConstraint(m, sum{defenders[i]*skaters_lineup[i], i=1:num_skaters} <= 3) 

# Financial Constraint 
@addConstraint(m, sum{skaters[i,:Salary]*skaters_lineup[i], i=1:num_skaters} + sum{goalies[i,:Salary]*goalies_lineup[i], i=1:num_goalies} <= 50000) 

# exactly 3 different teams for the 8 skaters constraint 
@defVar(m, used_team[i=1:num_teams], Bin)

#PROBLEM BELOW
@addConstraint(m, constr[i=1:num_teams], used_team[i] <= sum{skaters_teams[t, i]*skaters_lineup[t], t=1:num_skaters}) 
@addConstraint(m, constr[i=1:num_teams], sum{skaters_teams[t, i]*skaters_lineup[t], t=1:num_skaters} <= 6*used_team[i]) 
#PROBLEM ABOVE

@addConstraint(m, sum{used_team[i], i=1:num_teams} == 3)

是否像这样循环：

for i in range(num_teams):
    for t in range(num_skaters):
        m += sum(skaters_teams[i][t]*skaters_lineup[t]) >=ut[i]
        m += sum(skaters_teams[i][t]*skaters_lineup[t]) <=6*ut[i]

此外，我找不到有关使用@addConstraint的3个参数的任何文档。第一个是你要添加它的问题，第三个是你要添加的约束。第二个是什么？

@addConstraint(m, constr[i=1:num_teams], sum{skaters_teams[t, i]*skaters_lineup[t], t=1:num_skaters} <= 6*used_team[i])

Answer 1

在玩了一段时间之后，我找到了解决方案。如果有人在纸浆和跳跃方面有类似的问题，这就是我使用的。

for i in range(num_teams):
    m += sum(x * st[i] for x,st in zip (skaters_lineup, skaters_teams[:])) >= used_team[i]
    m += sum(x * st[i] for x,st in zip (skaters_lineup, skaters_teams[:])) <= 6*used_team[i]

将Julia JuMP转换为Python PuLP

1 个答案: