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Genetic algorithms with shrinking population size

Author

Listed:
  • Joshua Hallam
  • Olcay Akman
  • Füsun Akman

Abstract

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Suggested Citation

  • Joshua Hallam & Olcay Akman & Füsun Akman, 2010. "Genetic algorithms with shrinking population size," Computational Statistics, Springer, vol. 25(4), pages 691-705, December.
    • Handle: RePEc:spr:compst:v:25:y:2010:i:4:p:691-705
    DOI: 10.1007/s00180-010-0197-1
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    Cited by:

    1. Gasparin, Andrea & Camerota Verdù, Federico Julian & Catanzaro, Daniele, 2023. "An evolution strategy approach for the Balanced Minimum Evolution Problem," LIDAM Discussion Papers CORE 2023021, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Thomas Weise & Yuezhong Wu & Raymond Chiong & Ke Tang & Jörg Lässig, 2016. "Global versus local search: the impact of population sizes on evolutionary algorithm performance," Journal of Global Optimization, Springer, vol. 66(3), pages 511-534, November.
    3. Anderson Rogério Faia Pinto & Antonio Fernando Crepaldi & Marcelo Seido Nagano, 2018. "A Genetic Algorithm applied to pick sequencing for billing," Journal of Intelligent Manufacturing, Springer, vol. 29(2), pages 405-422, February.
    4. André Pereira & Bernardo Andrade, 2015. "On the genetic algorithm with adaptive mutation rate and selected statistical applications," Computational Statistics, Springer, vol. 30(1), pages 131-150, March.

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