Optimizing a matrix with cplexlp?
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Hi to all,
I'm working on my graduating thesis what about cross kidney transplants matching algorithms.
I've a solution with genetic algorithm but i want to know 'what is the optimum?' (of course GA is %90-99 interval, not %100-optimum-)
So;
I have a binary matrix(also symetric)
for example=
1 2 3 4 5 6 7 8 9 10
1 [0 1 0 0 0 0 0 0 0 0
2 1 0 1 0 0 0 0 0 0 0
3 0 1 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 1 0
5 0 0 0 0 0 0 0 0 0 0
6 0 0 0 0 0 0 0 0 0 0
7 0 0 0 0 0 0 0 0 0 0
8 0 0 0 0 0 0 0 0 0 0
9 0 0 0 1 0 0 0 0 0 0
10 0 0 0 0 0 0 0 0 0 0]
I want to find optimum match number beetween column numbers. (How many matches can be made in this matrix?)
In this case; Possible matches are:
NO2 - NO1
NO2 - NO3
NO 4- NO9
But when NO2 was matched with NO1, it can no longer match with NO1. Its kinda monogamy.(If patient and donor NO2 exchanges kidneys with p and d NO1, of course NO2 can not exchange with NO3)
In this example, optimum match value is = 2.
Let's think about 1000*1000 matrix.
When i solve this matrix with genetic algortihm, i had 410 as a result. ( theoretical match number is 500 ((1000/2)), of course impossible.)
HOW CAN I SOLVE THIS MATRIX USING CPLEXLP OR MILP?(or something else solver)
I will be very pleased if anybody help,
Yours truly.
7 个评论
KSSV
2019-6-6
What do you mean by optimum match no. beetween column numbers?
Raghunandan V
2019-6-6
You lost me here -
Optimum value is = 2 match.
are you explaning the matrix or the your algorithm in this line?
Berkay Sen
2019-6-6
编辑:Berkay Sen
2019-6-6
Berkay Sen
2019-6-6
编辑:Berkay Sen
2019-6-6
Greg Heath
2019-6-6
Sorry, cannot help.
Greg
Walter Roberson
2019-6-6
CPLEXLP is a third party product that is outside my experience.
Berkay Sen
2019-6-6
采纳的回答
更多回答(2 个)
Alan Weiss
2019-6-6
1 个投票
Alan Weiss
MATLAB mathematical toolbox documentation
3 个评论
Berkay Sen
2019-6-6
Christine Tobler
2019-6-6
Thank you for thinking of matchpairs, Alan. Unfortunately it wouldn't work for this case: Matchpairs will match rows of A to columns, but it doesn't have an understanding that if row i of A is matched, then column i of A is also unavailable for another match.
Basically, in matchpairs the rows and columns represent two different sets of resources to be matched up, while in this problem both rows and columns represent the same set of resources.
Berkay Sen
2019-6-6
Christine Tobler
2019-6-6
You can solve this using intlinprog. This is probably not the most efficient way of solving the problem, but reliable
A = [0 1 0 0 0 0 0 0 0 0;
1 0 1 0 0 0 0 0 0 0;
0 1 0 0 0 0 0 0 0 0;
0 0 0 0 0 0 0 0 1 0;
0 0 0 0 0 0 0 0 0 0;
0 0 0 0 0 0 0 0 0 0;
0 0 0 0 0 0 0 0 0 0;
0 0 0 0 0 0 0 0 0 0;
0 0 0 1 0 0 0 0 0 0;
0 0 0 0 0 0 0 0 0 0];
% Define an optimization variable: x(i,j) == 1 if (i, j) are matched, otherwise x(i, j) == 0
x = optimvar("x", size(A), "Type", "integer", "LowerBound", 0, "UpperBound", 1);
% Define an optimization problem
problem = optimproblem;
% Maximize the number of indices (i, j) for which A(i, j) == 1 and x(i, j) == 1
% (change sign because Objective is minimized in solve)
problem.Objective = -sum(sum(x.*A));
% Every column of x can only contain 1 non-zero (otherwise that column is matched to more than one row)
problem.Constraints.noDuplicates = sum(x, 1) == 1;
% Require x(i, j) == x(j, i)
problem.Constraints.symmetric = x == x';
% Solve the problem
s = solve(problem);
% Find indices i, j for which A(i, j) == 1 and s.x(i, j) == 1
[i, j] = find(triu(A & s.x))
% This returns i = [2; 4] and j = [3; 9], so two pairs (2, 3) and (4, 9)
4 个评论
Berkay Sen
2019-6-6
Berkay Sen
2019-6-6
Christine Tobler
2019-6-6
You're very welcome. I just realized you probably need an additional constraint:
% Require x(i, i) == 0
n = size(x, 1);
problem.Constraints.NonDiagonal = x(1:n+1:end) == 0;
This will prevent the solver from matching an index with itself.
Berkay Sen
2019-6-7
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