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Re: [tlug] genetic algorithm/optimization framework



Lars Kotthoff writes:

 > Most of these will only optimize for a single objective, but you
 > may be able to combine your multiple objectives into a single
 > one.

You can always map the efficiency frontier at the cost of multiple
optimization runs by optimizing various linear combinations of the
objectives, typically starting with the "corners" (each objective by
itself) and the "middle" (equal weight on all objectives).  That might
be too expensive in Attila's use case, of course, but it's a simple
approach when throwing machine cycles at the problem is cheaper than
burning neurons on it.

I gather he's in a situation where he's burning neurons, but if some
single-objective method proves efficient for his problem, he might be
able to go back to burning cycles. :-)


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