GA - Quadratic Assignment Problem
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Hey guys,
I am using GA to solve an optimization problem, i.e. quadratic assignment problem (QAP).
the objective function of QAP is
min EEEE abxx + cx where E is summation A, B , C is input matrix and is constant
the only variable here is X, which is a permutation matrix (a binary matrix with the sum of each row and each column is equal to1)
i have tested my objective function in a script, and it works. and i can use randperm and a few lines of coding to generate permutation matrix
the problem is, when i implement GA with optimization toolbox, it always output an error - "too many input arguments"
does anyone know what causes this to be happened?
and should i put my variables(permutation matrix) at constraint pane or creation function pane?
how matlab know the feasible solution can only be a permutation matrix, so that after crossover and mutation, the children will still be a permutation matrix?
does any guys have any idea to implement this QAP?
thanks in advanced.
2 个评论
Wee Loon
2011-4-2
Andrew Newell
2011-4-3
@Wee, it's hard to know what the problem is unless you show us what code you're using to do this calculation.
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