Multi-objective optimization
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
and
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).
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