Xin-She Yang

Xin-She Yang is Reader at the Middlesex University[1] and was a senior research scientist at National Physical Laboratory, best known as a developer of various heuristic algorithms for engineering optimization. He obtained a DPhil in applied mathematics from Oxford University.[2] He has given invited keynote talks at SEA2011,[3] SCET2012, BIOMA2012[4] and Mendel Conference on Soft Computing (Mendel 2012). He has been elected as a Fellow of the Institute of Mathematics and its Application in 2021. He has been on the prestigious list of Highly Cited Researchers since 2016 by Clarivate Analyatics/Web of Science.[5]

Algorithms

He created the firefly algorithm[6] (2008), cuckoo search (2009),[7][8][9] bat algorithm (2010),[10] and flower pollination algorithm (2012).

Since 2009, more than 1000 peer-reviewed research papers cited the firefly algorithm and/or cuckoo search.

References
  1. "Dr Xin-She Yang | Middlesex University London". www.mdx.ac.uk. Retrieved 16 July 2023.
  2. "Oxford University Gazette". Archived from the original on 28 September 2012. Retrieved 4 January 2011.
  3. "SEA 2011 - 10th International Symposium on Experimental Algorithms". Rebennack.net. Retrieved 14 May 2013.
  4. "BIOMA 2012". Bioma.ijs.si. Retrieved 14 May 2013.
  5. "Highly Cited Researchers".
  6. Yang, X.-S. (2008). Nature-Inspired Metaheuristic Algorithms. Luniver Press.
  7. Yang, X.-S.; Deb, S. (2009). Cuckoo search via Lévy flights, in: World Congress on Nature & Biologically Inspired Computing (NaBIC 2009). IEEE Publication, USA. pp. 210–214.
  8. "Novel 'cuckoo search algorithm' beats particle swarm optimization in engineering design". Sciencedaily.com. 28 May 2010. Retrieved 14 May 2013.
  9. Tue, 06/01/2010 - 12:07pm. "Novel 'Cuckoo Search Algorithm' Beats Particle Swarm Optimization". Scientificcomputing.com. Archived from the original on 11 March 2012. Retrieved 14 May 2013.
  10. Yang X.-S., A New Metaheuristic Bat-Inspired Algorithm, in: Nature Inspired Cooperative Strategies for Optimization (NISCO 2010) (Eds. J. R. Gonzalez et al.), Studies in Computational Intelligence, Springer Berlin, 284, Springer, 65–74 (2010)

Further reading


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