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 edit
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.[citation needed]
References edit
- ^ "Dr Xin-She Yang | Middlesex University London". www.mdx.ac.uk. Retrieved 16 July 2023.
- ^ "Oxford University Gazette". Archived from the original on 28 September 2012. Retrieved 4 January 2011.
- ^ "SEA 2011 - 10th International Symposium on Experimental Algorithms". Rebennack.net. Retrieved 14 May 2013.
- ^ "BIOMA 2012". Bioma.ijs.si. Retrieved 14 May 2013.
- ^ "Highly Cited Researchers".
- ^ Yang, X.-S. (2008). Nature-Inspired Metaheuristic Algorithms. Luniver Press.
- ^ 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.
- ^ "Novel 'cuckoo search algorithm' beats particle swarm optimization in engineering design". Sciencedaily.com. 28 May 2010. Retrieved 14 May 2013.
- ^ 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.
{{cite web}}: CS1 maint: numeric names: authors list (link) - ^ 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 edit
- Yang, X.-S. (2014), Nature-Inspired Optimization Algorithms, Elsevier.
- Full text of Yang's doctoral thesis, "Mathematical modelling of compaction and diagenesis in sedimentary basins", Oxford Research Archive
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