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Mapping Conditions in Transformational Space

  1. Oct 2, 2012 #1
    Hello,
    My problem is as follows:
    I want to generate a series of 24 dimensional random numbers to act as the starting population for a genetic algorithm. These numbers need to fully span the space which is limited by a series of nonlinear boundary conditions.

    The 24 dimensional vector is a scaling vector which scales currents flowing in 64 different coils. There is a linear transformation matrix (call it A) [64x24] which maps the scaling vector (call it x) to the current space (call this vector B). So the problem is Ax = B.

    The problem is the boundary conditions for the space are in the 64 dimensional current space. The conditions are:
    1) The current in a given coil cannot exceed abs(500mA) (each abs(B(:))< 500mA)
    2) The total sum of positive currents cannot exceed 6000mA
    3) The total sum of negative currents cannot exceed -6000mA
    4) The difference between positive and absolute value of negative currents cannot exceed 2500mA.

    How can I bound the problem space so that the random number generator doesn't continuously generate illegal values?

    Any insight would be greatly appreciated.
     
  2. jcsd
  3. Oct 3, 2012 #2

    Stephen Tashi

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    Science Advisor

    Clarify whether all the the constraints are expressible as linear inequalities involving the members of [itex] B [/itex].

    Suppose the problem is to generate random vectors [itex] x [/itex]
    subject to constraints defined by

    [itex] A_{[64 \times 24]} x_{[24 \times 1]} = B_{ [64 \times 1] } [/itex]

    where [itex] B [/itex] can be any matrix satisfying linear constrains of the form

    [itex] C^i_{[1 \times 64]} B_{[64 \times 1]} \ge 0 [/itex] for [itex] i = 1,2,..N[/itex]

    Since the members of [itex] B [/itex] are linear combinations of the members of [itex] x[/itex], the constraints can be re-written as linear constraints on the members of [itex] x [/itex].

    So the problem becomes to generate random vectors [itex] x [/itex] satisfying a system of linear constraints of the form
    [itex] D^i_{[1 \times 64]} x_{[64 \times 1]} \gt 0 [/itex], [itex] i = 1,2,..N [/itex].

    I don't think this is an easy mathematical problem, but it seems to be essence of what must be done.
     
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