Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Promoting Semantics in Multi-objective Genetic Programming based on
  Decomposition   The study of semantics in Genetic Program (GP) deals with the behaviour of a
program given a set of inputs and has been widely reported in helping to
promote diversity in GP for a range of complex problems ultimately improving
evolutionary search. The vast majority of these studies have focused their
attention in single-objective GP, with just a few exceptions where Pareto-based
dominance algorithms such as NSGA-II and SPEA2 have been used as frameworks to
test whether highly popular semantics-based methods, such as Semantic
Similarity-based Crossover (SSC), helps or hinders evolutionary search.
Surprisingly it has been reported that the benefits exhibited by SSC in SOGP
are not seen in Pareto-based dominance Multi-objective GP. In this work, we are
interested in studying if the same carries out in Multi-objective Evolutionary
Algorithms based on Decomposition (MOEA/D). By using the MNIST dataset, a
well-known dataset used in the machine learning community, we show how SSC in
MOEA/D promotes semantic diversity yielding better results compared to when
this is not present in canonical MOEA/D.

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The categories of this paper are: hep-ex
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The categories of this paper are: chem-ph
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The categories of this paper are: cond-mat
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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: q-fin
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The categories of this paper are: patt-sol
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The categories of this paper are: q-alg
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The categories of this paper are: econ
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The categories of this paper are: mtrl-th
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The categories of this paper are: q-bio
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The categories of this paper are: acc-phys
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The categories of this paper are: solv-int
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The categories of this paper are: alg-geom
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-lat