Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Lossless fitness inheritance in genetic algorithms for decision trees   When genetic algorithms are used to evolve decision trees, key tree quality
parameters can be recursively computed and re-used across generations of
partially similar decision trees. Simply storing instance indices at leaves is
enough for fitness to be piecewise computed in a lossless fashion. We show the
derivation of the (substantial) expected speed-up on two bounding case problems
and trace the attractive property of lossless fitness inheritance to the
divide-and-conquer nature of decision trees. The theoretical results are
supported by experimental evidence.

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The categories of this paper are: chao-dyn
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The categories of this paper are: ao-sci
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The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
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The categories of this paper are: eess
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The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
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The categories of this paper are: atom-ph
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The categories of this paper are: econ
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The categories of this paper are: q-fin
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The categories of this paper are: math
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The categories of this paper are: nlin
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The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th