Impact of selection methods on the diversity of many-objective Pareto set approximations

  1. Martí, L. 12
  2. Segredo, E. 34
  3. Śnchez-Pi, N. 5
  4. Hart, E. 3
  1. 1 Universidade Federal Fluminense
    info

    Universidade Federal Fluminense

    Niterói, Brasil

    ROR https://ror.org/02rjhbb08

  2. 2 TAU Team, CNRS/INRIA/LRI, Universite Paris-Saclay
  3. 3 School of Computing, Edinburgh Napier University
  4. 4 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

  5. 5 Universidad del Estado del Río de Janeiro
    info

    Universidad del Estado del Río de Janeiro

    Río de Janeiro, Brasil

    ROR https://ror.org/0198v2949

Proceedings:
Procedia Computer Science

Publisher: Elsevier B.V.

ISSN: 1877-0509

Year of publication: 2017

Volume: 112

Pages: 844-853

Type: Conference paper

DOI: 10.1016/J.PROCS.2017.08.077 SCOPUS: 2-s2.0-85032369358 GOOGLE SCHOLAR lock_openOpen access editor
Data source: Scopus