Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Pi Fractions for Generating Uniformly Distributed Sampling Points in
  Global Search and Optimization Algorithms   Pi Fractions are used to create deterministic uniformly distributed
pseudorandom decision space sample points for a global search and optimization
algorithm. These fractions appear to be uniformly distributed on [0,1] and can
be used in any stochastic algorithm rendering it effectively deterministic
without compromising its ability to explore the decision space. Pi Fractions
are generated using the BBP Pi digit extraction algorithm. The Pi Fraction
approach is tested using genetic algorithm Pi-GASR with very good results. A Pi
Fraction data file is available upon request.

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The categories of this paper are: patt-sol
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The categories of this paper are: nucl-ex
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The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
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The categories of this paper are: cmp-lg
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The categories of this paper are: funct-an
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The categories of this paper are: solv-int
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The categories of this paper are: mtrl-th
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The categories of this paper are: alg-geom
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The categories of this paper are: adap-org
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The categories of this paper are: bayes-an
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The categories of this paper are: supr-con
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The categories of this paper are: chem-ph
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The categories of this paper are: ao-sci
3
The categories of this paper are: physics
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The categories of this paper are: astro-ph