Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Combining Particle Swarm Optimizer with SQP Local Search for Constrained
  Optimization Problems   The combining of a General-Purpose Particle Swarm Optimizer (GP-PSO) with
Sequential Quadratic Programming (SQP) algorithm for constrained optimization
problems has been shown to be highly beneficial to the refinement, and in some
cases, the success of finding a global optimum solution. It is shown that the
likely difference between leading algorithms are in their local search ability.
A comparison with other leading optimizers on the tested benchmark suite,
indicate the hybrid GP-PSO with implemented local search to compete along side
other leading PSO algorithms.

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The categories of this paper are: comp-gas
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The categories of this paper are: funct-an
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The categories of this paper are: ao-sci
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-ph
3
The categories of this paper are: physics
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The categories of this paper are: atom-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: supr-con
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The categories of this paper are: patt-sol
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The categories of this paper are: cmp-lg
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The categories of this paper are: stat
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The categories of this paper are: hep-lat
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The categories of this paper are: nucl-th
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The categories of this paper are: cond-mat
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The categories of this paper are: adap-org