Multivariate Estimation of Distribution Algorithm with Laplace Transform Archimedean Copula

@article{Gao2009MultivariateEO,
  title={Multivariate Estimation of Distribution Algorithm with Laplace Transform Archimedean Copula},
  author={Ying Gao},
  journal={2009 International Conference on Information Engineering and Computer Science},
  year={2009},
  pages={1-5}
}
  • Ying Gao
  • Published in
    International Conference on Information…
    2009
Estimation of distribution algorithm is a new class of evolutionary algorithms. It builds a probability model of promising solutions and samples new individuals from the model. In this paper, we propose a new EDA in which the copula theory is applied to constitute the probabilistic model in the conventional multivariate EDAs. The proposed algorithm employs firstly kernel estimation method to estimate the marginal distributions from the selected parent individuals. Then, the marginal… CONTINUE READING

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