ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution

Lucas M. Pavelski, Myriam Regattieri Delgado, Carolina P. de Almeida, Richard A. Gonçalves, Sandra M. Venske. ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution. In 2014 Brazilian Conference on Intelligent Systems, BRACIS 2014, Sao Paulo, Brazil, October 18-22, 2014. pages 318-323, IEEE, 2014. [doi]

@inproceedings{PavelskiDAGV14,
  title = {ELMOEA/D-DE: Extreme Learning Surrogate Models in Multi-objective Optimization Based on Decomposition and Differential Evolution},
  author = {Lucas M. Pavelski and Myriam Regattieri Delgado and Carolina P. de Almeida and Richard A. Gonçalves and Sandra M. Venske},
  year = {2014},
  doi = {10.1109/BRACIS.2014.64},
  url = {http://dx.doi.org/10.1109/BRACIS.2014.64},
  researchr = {https://researchr.org/publication/PavelskiDAGV14},
  cites = {0},
  citedby = {0},
  pages = {318-323},
  booktitle = {2014 Brazilian Conference on Intelligent Systems, BRACIS 2014, Sao Paulo, Brazil, October 18-22, 2014},
  publisher = {IEEE},
  isbn = {978-1-4799-5618-0},
}