Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The performance of Minima Hopping and Evolutionary Algorithms for
  cluster structure prediction   We compare Evolutionary Algorithms with Minima Hopping for global
optimization in the field of cluster structure prediction. We introduce a new
{\em average offspring} recombination operator and compare it with previously
used operators. Minima Hopping is improved with a {\em softening} method and a
stronger feedback mechanism. Test systems are atomic clusters with
Lennard-Jones interaction as well as silicon and gold clusters described by
force fields. The improved Minima Hopping is found to be well-suited to all
these homoatomic problems. The evolutionary algorithm is more efficient for
systems with compact and symmetric ground states, including LJ$_{150}$, but it
fails for systems with very complex energy landscapes and asymmetric ground
states, such as LJ$_{75}$ and silicon clusters with more than 30 atoms. Both
successes and failures of the evolutionary algorithm suggest ways for its
improvement.

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The categories of this paper are: hep-ex
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The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
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The categories of this paper are: hep-th
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The categories of this paper are: cs
11
The categories of this paper are: hep-lat
3
The categories of this paper are: physics
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The categories of this paper are: stat
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The categories of this paper are: eess
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
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The categories of this paper are: bayes-an
32
The categories of this paper are: atom-ph