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Proposed Method

  • Camilo Caraveo
  • Fevrier Valdez
  • Oscar Castillo
Chapter
Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Abstract

In this book we propose a new optimization method, which is bio-inspired on the self-defense process of plants in nature.

References

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    Caraveo, C., Valdez, F., & Castillo, O. (2015). Bio-inspired optimization algorithm based on the self-defense mechanism in plants. In Advances in artificial intelligence and soft computing (pp. 227–237). Springer International Publishing.CrossRefGoogle Scholar
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    Koornneef, A., & Pieterse, C. M. (2008). Cross talk in defense signaling. Plant Physiology, 146(3), 839–844.CrossRefGoogle Scholar
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    Laumanns, M., Rudolph, G., & Schwefel, H. P. (1998, September). A spatial predator-prey approach to multi-objective optimization: A preliminary study. In International Conference on Parallel Problem Solving from Nature (pp. 241–249). Berlin, Heidelberg: Springer.Google Scholar
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    Yang, X. S. (2012). Flower pollination algorithm for global optimization. In Unconventional computation and natural computation (pp. 240–249). Berlin, Heidelberg: Springer.CrossRefGoogle Scholar
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    Yang, X. S., & Deb, S. (2009, December). Cuckoo search via Lévy flights. In 2009 World Congress on Nature & Biologically Inspired Computing, NaBIC 2009 (pp. 210–214). IEEE.Google Scholar

Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Camilo Caraveo
    • 1
  • Fevrier Valdez
    • 1
  • Oscar Castillo
    • 1
  1. 1.Division of Graduate StudiesTijuana Institute of TechnologyTijuanaMexico

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