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Xin Yao

Prof

 https://orcid.org/0000-0001-8837-4442

Accepting PhD Students

PhD projects

Professor Yao’s research interests include:

Evolutionary computation (evolutionary optimisation, evolutionary learning, evolutionary design)
Neural network ensembles and multiple classifiers (especially on the diversity issue)
Meta-heuristic algorithms
Data mining
Global optimisation
Simulated annealing
Computational complexity of evolutionary algorithms, and various real-world applications

2000 …2026

Research activity per year

Personal profile

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  5. SDG 15 - Life on Land
    SDG 15 Life on Land

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Collaborations and top research areas from the last five years

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  • Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems

    Tong, H., Minku, L. L., Menzel, S., Sendhoff, B. & Yao, X., 4 Feb 2026, (E-pub ahead of print) In: CAAI Transactions on Intelligence Technology. 16 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    21 Downloads (Pure)

  • How do dynamic events change the fitness landscape of traveling salesman problems?

    Tong, H., Li, M., Liu, J. & Yao, X., 4 Feb 2025, (E-pub ahead of print) In: IEEE Transactions on Evolutionary Computation. 10870270.

    Research output: Contribution to journal › Article › peer-review

  • Novel Memristive Reservoir Computing with Evolvable Topology for Time Series Prediction

    Shi, X., Minku, L. & Yao, X., 14 Jun 2025, Neural Information Processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part VI. Mahmud, M., Doborjeh, M., Wong, K., Leung, A. C. S., Doborjeh, Z. & Tanveer, M. (eds.). 1 ed. Singapore: Springer, p. 397-412 15 p. (Communications in Computer and Information Science; vol. 2287).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File
    3 Downloads (Pure)

  • When is non-deteriorating population update in MOEAs beneficial?

    Zhang, Q., Li, M., Tang, K. & Yao, X., 28 Feb 2025, Evolutionary Multi-Criterion Optimization: 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part I. Singh, H., Ray, T., Knowles, J., Li, X., Branke, J., Wang, B. & Oyama, A. (eds.). 1 ed. Springer, p. 31-45 14 p. (Lecture Notes in Computer Science; vol. 15512).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • A comparative study of evolutionary approaches to the bi-objective dynamic Travelling Thief Problem

    Herring, D., Kirley, M. & Yao, X., 1 Feb 2024, In: Swarm and Evolutionary Computation. 84, 101433.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    98 Downloads (Pure)
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View all 56 projects