Constraint in optimization problem
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Hello all,
I would like to kindly ask for your help, if you are familiar with optimization stuff...
Do you know how I can introduce a constraint in order to avoid having a vector solution without consecutive '1s' (either the number of '1' are two, or three etc)? (Let's say the vector is y and takes 6 binary values)
For example: vector1 = [1 0 1 0 0 0]
vector2 = [0 0 1 1 0 1]
vector3 = [1 0 0 0 1 0]
vector4 = [0 0 1 0 0 1]
are not valid solutions, but:
vector5 = [1 0 0 0 0 0]
vector6 = [0 0 1 1 1 0]
vector7 = [0 1 1 0 0 0]
vector8 = [0 0 1 0 0 0]
vector9 = [1 1 1 0 0 0]
are valid. I am really stuck with it!
Best regards, Chris
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Plus de réponses (2)
John D'Errico
le 19 Mar 2015
Modifié(e) : John D'Errico
le 19 Mar 2015
You don't say what optimization tool you are working with. But as long as your favorite optimizer (intlinprog maybe) can handle inequality constraints, then just specify
x(1) + x(2) <= 1
x(2) + x(3) <= 1
x(3) + x(4) <= 1
x(4) + x(5) <= 1
x(5) + x(6) <= 1
1 commentaire
Chris B
le 19 Mar 2015
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