[R] Multi-objective optimization
p.dalgaard at biostat.ku.dk
Wed Oct 17 21:33:30 CEST 2007
Alberto Monteiro wrote:
> Duncan Murdoch wrote:
>>> Is there any package to do multi-objective optimization? For instance,
>>> consider the following problem:
>>> maximize f(x,y) in order to x
>>> maximize g(x,y) in order to y,
>>> simultaneously, with x and y being the same both for f and g. Can R do
>>> it numerically?
>> I don't think the problem is well posed. For example, what's the
>> solution if f(x,y) = -(x-y)^2 and g(x,y) = -(x-2)^2-(y-1)^2? The
>> first is maximized at x=y, the second at x=2, y=1, so in order to
>> choose a solution you need to specify what sort of tradeoff to use
>> to combine the two objectives.
> I guess the problem was not well _defined_.
> I "interpreted" it as:
> maximize f(x,y) in order to x %means%
> (1) for every y, find x = f1(y) such that f(x,y) is max
> maximize g(x,y) in order to y %means%
> (2) for every x, find y = g1(x) such that g(x,y) is max
> simultaneously %means%
> (3) x = f1(y) and y = g1(x).
> So, for your example, we would have:
> (1) => x = y
> (2) => y = 1
> (3) => x = y = 1
Yes, but there's an alternative interpretation:
maximize g(x,y) over y _subject to_ f(x,y) being maximized over x
=> maximize g(y,y) over y => y = x = 1.5
(this sort of optimization problem arises naturally if you want a
least-squares fit to a function given by a partial differential equation
and solve the latter using some minimization method).
O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
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~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
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