Hybridisation of evolutionary algorithms through hyper-heuristics for global continuous optimisation

  1. Segredo, E. 1
  2. Lalla-Ruiz, E. 2
  3. Hart, E. 1
  4. Paechter, B. 1
  5. Voß, S. 2
  1. 1 School of Computing, Edinburgh Napier University
  2. 2 University of Hamburg
    info

    University of Hamburg

    Hamburgo, Alemania

    GRID grid.9026.d

Book Series:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publisher: Springer Verlag

ISSN: 1611-3349

ISBN: 9783319503486

Year of publication: 2016

Volume: 10079 LNCS

Pages: 296-305

Type: Conference paper

Export: RIS
DOI: 10.1007/978-3-319-50349-3_25 SCOPUS: 2-s2.0-85006839828 GOOGLE SCHOLAR
Data source: Scopus