Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Many-Objective Estimation of Distribution Optimization Algorithm Based
  on WGAN-GP   Estimation of distribution algorithms (EDA) are stochastic optimization
algorithms. EDA establishes a probability model to describe the distribution of
solution from the perspective of population macroscopically by statistical
learning method, and then randomly samples the probability model to generate a
new population. EDA can better solve multi-objective optimal problems (MOPs).
However, the performance of EDA decreases in solving many-objective optimal
problems (MaOPs), which contains more than three objectives. Reference Vector
Guided Evolutionary Algorithm (RVEA), based on the EDA framework, can better
solve MaOPs. In our paper, we use the framework of RVEA. However, we generate
the new population by Wasserstein Generative Adversarial Networks-Gradient
Penalty (WGAN-GP) instead of using crossover and mutation. WGAN-GP have
advantages of fast convergence, good stability and high sample quality. WGAN-GP
learn the mapping relationship from standard normal distribution to given data
set distribution based on a given data set subject to the same distribution. It
can quickly generate populations with high diversity and good convergence. To
measure the performance, RM-MEDA, MOPSO and NSGA-II are selected to perform
comparison experiments over DTLZ and LSMOP test suites with 3-, 5-, 8-, 10- and
15-objective.

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The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
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The categories of this paper are: supr-con
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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: q-alg
11
The categories of this paper are: hep-lat
34
The categories of this paper are: chem-ph
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: quant-ph
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The categories of this paper are: eess
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The categories of this paper are: acc-phys
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The categories of this paper are: alg-geom
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The categories of this paper are: dg-ga
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The categories of this paper are: math-ph