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mathematics

Xin-She Yang

Xin-She Yang is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Xin-She Yang rather than just read about it. In short: Xin-She Yang is Reader_(academic_rank) at the Middlesex University 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.

Key takeaways

  • Xin-She Yang belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Xin-She Yang to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Xin-She Yang from memory before moving on to harder problems.

Reference excerpt

Xin-She Yang is Reader_(academic_rank) at the Middlesex University 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. He has given many invited keynote talks, including SEA2011, SCET2012, BIOMA2012, Mendel Conference on Soft Computing (Mendel 2012), ICCS2015 (Iceland), SIBGRAPH2015 (Brazil), OIPE2016 (Italy), ICICT2019 (UK), CIS2022 (India), and SIMULTECH2024 (France). 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. He is also on the latest list of World's Best Scientistis 2026 (Best Computer Science Scientists 2026), according to Research.com

Algorithms He created the firefly algorithm (2008), cuckoo search (2009), bat algorithm (2010), and flower pollination algorithm (2012). Since 2009, more than 16000 peer-reviewed research papers cited the firefly algorithm and/or cuckoo search.

References

Further reading 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

Worked examples

Example 1 — a first encounter with Xin-She Yang

Start with the simplest possible case. Write down what Xin-She Yang claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Xin-She Yang before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Xin-She Yang ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Xin-She Yang

In research
Xin-She Yang appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Xin-She Yang in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Xin-She Yang is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century British mathematicians, Alumni of Corpus Christi College, Oxford, British mathematician stubs, so understanding it makes those chapters shorter.
In everyday life
Look for Xin-She Yang outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Xin-She Yang in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Xin-She Yang means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Xin-She Yang out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Xin-She Yang in simple terms?

Xin-She Yang is Reader_(academic_rank) at the Middlesex University 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.

Why does Xin-She Yang matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Xin-She Yang?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Xin-She Yang.

Tags

  • 21st-century British mathematicians
  • Alumni of Corpus Christi College, Oxford
  • British mathematician stubs
  • Fellows of the Institute of Mathematics and its Applications
  • Living people
  • People from Weishi County
  • Scientists of the National Physical Laboratory (United Kingdom)

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