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YAO Xin, Prof.

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

  • 8 Castle Peak Road, Tuen Mun

    Hong Kong

Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
1991 …2025

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  • 2016

    Conclusions and outlook

    LEWIS, P. R., PLATZNER, M., RINNER, B., TRRESEN, J. & YAO, X., 29 Jul 2016, Self-aware Computing Systems : An Engineering Approach. LEWIS, P. R., PLATZNER, M., RINNER, B., TØRRESEN, J. & YAO, X. (eds.). Springer, Cham, p. 297-300 4 p. (Natural Computing Serie).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

  • Self-aware computing: Introduction and motivation

    LEWIS, P. R., PLATZNER, M., RINNER, B., TØRRESEN, J. & YAO, X., 2016, Self-aware Computing Systems: An Engineering Approach. LEWIS, P. R., PLANTZNER, M., RINNER, B. & TØRRESEN, J. (eds.). Springer, Cham, p. 1-5 5 p. (Natural Computing Series).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    1 Citation (Scopus)
  • 2014

    Fitness Landscapes and Problem Difficulty in Evolutionary Algorithms: From Theory to Applications

    LU, G., LI, J. & YAO, X., 2014, Recent Advances in the Theory and Application of Fitness Landscapes. RICHTER, H. & ENGELBRECHT, A. (eds.). Springer Berlin Heidelberg, p. 133-152 20 p. (Emergence, Complexity and Computation; vol. 6).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

  • Machine learning

    YAO, X. & LIU, Y., 2014, Search Methodologies : Introductory Tutorials in Optimization and Decision Support Techniques, Second Edition. BURKE, E. K. & KENDALL, G. (eds.). 2nd ed. Springer US, p. 477-518 42 p.

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    7 Citations (Scopus)

  • Markets and clouds : Adaptive and resilient computational resource allocation inspired by economics

    LEWIS, P. R., FANIYI, F., BAHSOON, R. & YAO, X., 2014, Adaptive, Dynamic, and Resilient Systems. SURI, N. & CABRI, G. (eds.). CRC Press, p. 285-318 34 p.

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    3 Citations (Scopus)
  • 2013

    Dynamic combinatorial optimization problems: A fitness landscape analysis

    ROHLFSHAGEN, P. & YAO, X., 2013, Metaheuristics for Dynamic Optimization. ALBA, E., NAKIB, A. & SIARRY, P. (eds.). Springer, p. 79-97 19 p. (Studies in Computational Intelligence; vol. 433).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    10 Citations (Scopus)

  • Dynamic multi-objective optimization: A survey of the state-of-the-art

    RAQUEL, C. & YAO, X., 2013, Evolutionary Computation for Dynamic Optimization Problems. YANG, S. & YAO, X. (eds.). Springer, p. 85-106 22 p. (Studies in Computational Intelligence; vol. 490).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    60 Citations (Scopus)

  • Dynamic time-linkage evolutionary optimization: Definitions and potential solutions

    NGUYEN, T. T. & YAO, X., 2013, Metaheuristics for Dynamic Optimization. ALBA, E., NAKIB, A. & SIARRY, P. (eds.). Springer, p. 371-395 25 p. (Studies in Computational Intelligence; vol. 433).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    9 Citations (Scopus)

  • Evolutionary computation for dynamic capacitated arc routing problem

    MEI, Y., TANG, K. & YAO, X., 2013, Evolutionary Computation for Dynamic Optimization Problems. YANG, S. & YAO, X. (eds.). Springer, p. 377-401 25 p. (Studies in Computational Intelligence; vol. 490).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    8 Citations (Scopus)

  • Evolutionary dynamic optimization: Challenges and perspectives

    ROHLFSHAGEN, P. & YAO, X., 2013, Evolutionary Computation for Dynamic Optimization Problems. YANG, S. & YAO, X. (eds.). Springer, p. 65-84 20 p. (Studies in Computational Intelligence; vol. 490).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    6 Citations (Scopus)

  • Evolutionary dynamic optimization: Methodologies

    NGUYEN, T. T., YANG, S., BRANKE, J. & YAO, X., 2013, Evolutionary Computation for Dynamic Optimization Problems. YANG, S. & YAO, X. (eds.). Springer, p. 39-64 26 p. (Studies in Computational Intelligence; vol. 490).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    11 Citations (Scopus)

  • Evolutionary optimization on continuous dynamic constrained problems : An analysis

    NGUYEN, T. T. & YAO, X., 2013, Evolutionary Computation for Dynamic Optimization Problems. YANG, S. & YAO, X. (eds.). Springer, p. 193-217 25 p. (Studies in Computational Intelligence; vol. 490).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    5 Citations (Scopus)

  • Recent advances in evolutionary algorithms for job shop scheduling

    AKAY, B. & YAO, X., 2013, Automated Scheduling and Planning : From Theory to Practice. ETANER-UYAR, A. Ş., ÖZCAN, E. & URQUHART, N. (eds.). Springer, p. 191-224 34 p. (Studies in Computational Intelligence; vol. 505).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    13 Citations (Scopus)

  • Theoretical advances in evolutionary dynamic optimization

    ROHLFSHAGEN, P., LEHRE, P. K. & YAO, X., 2013, Evolutionary Computation for Dynamic Optimization Problems. YANG, S. & YAO, X. (eds.). Springer, p. 221-240 20 p. (Studies in Computational Intelligence; vol. 490).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    3 Citations (Scopus)
  • 2012

    Ensemble learning by negative correlation learning

    CHEN, H., COHN, A. G. & YAO, X., 2012, Ensemble Machine Learning: Methods and Applications. ZHANG, C. & MA, Y. (eds.). 1 ed. Springer New York, p. 177-201 25 p.

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    6 Citations (Scopus)
  • 2011

    Runtime Analysis of Evolutionary Algorithms for Discrete Optimization

    OLIVETO, P. S. & YAO, X., Feb 2011, Theory of Randomized Search Heuristics: Foundations and Recent Developments. AUGER, A. & DOERR, B. (eds.). World Scientific Publishing Co., Vol. 1. p. 21-52 32 p. (Series on Theoretical Computer Science).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    34 Citations (Scopus)
  • 2008

    A computational intelligence approach to railway track intervention planning

    BARTRAM, D., BURROW, M. & YAO, X., 2008, A Computational Intelligence Approach to Railway Track Intervention Planning. YU, T., DAVIS, L., BAYDAR, C. & ROY, R. (eds.). Springer, p. 163-198 36 p. (Studies in Computational Intelligence; vol. 86).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    9 Citations (Scopus)

  • Evolving artificial neural network ensembles

    ISLAM, M. M. & YAO, X., 2008, Computational Intelligence: A Compendium . FULCHER, J. & JAIN, L. C. (eds.). Springer, p. 851-880 30 p. (Studies in Computational Intelligence; vol. 115).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    12 Citations (Scopus)

  • Implementing negative correlation learning in evolutionary ensembles with suitable speciation techniques

    DUELL, P. & YAO, X., 2008, Pattern Recognition Technologies and Applications: Recent Advances. VERMA, B. & BLUMENSTEIN, M. (eds.). IGI Global, p. 344-369 26 p.

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

  • 2007

    A gradient-based forward greedy algorithm for space Gaussian process regression

    SUN, P. & YAO, X., 2007, Trends in Neural Computation. CHEN, K. & WANG, L. (eds.). Springer, p. 241-263 23 p. (Studies in Computational Intelligence; vol. 35).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    1 Citation (Scopus)

  • Finding Clusters in Gene Expression Data Using EvoCluster

    MA, P. C. H., CHAN, K. C. C. & YAO, X., 7 Dec 2007, Computational Intelligence in Bioinformatics. FOGEL, G. B., CORNE, D. W. & PAN, Y. (eds.). John Wiley and Sons, p. 41-66 26 p.

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

  • Learning IPD strategies through co-evolution

    CHONG, S. Y., HUMBLE, J., KENDALL, G., LI, J. & YAO, X., May 2007, The Iterated Prisoners' Dilemma : 20 Years On. KENDALL, G., YAO, X. & CHONG, S. Y. (eds.). World Scientific Publishing Co., p. 63-87 25 p. (Advances in Natural Computation; vol. 4).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    4 Citations (Scopus)

  • Nature Inspired Creative Design : Bringing Together Ideas from Nature, Computer Science, Engineering, Art and Design

    SCHNIER, T., BEALE, R., YAO, X., HENDLEY, B. & BYRNE, W., 2007, Designing for the 21st Century : Interdisciplinary Questions and Insights. INNS, T. (ed.). Taylor and Francis Ltd., p. 192-204 13 p.

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    3 Citations (Scopus)

  • Robust salting route optimization using evolutionary algorithms

    HANDA, H., CHAPMAN, L. & YAO, X., 2007, Evolutionary Computation in Dynamic and Uncertain Environments. YANG, S., ONG, Y.-S. & JIN, Y. (eds.). Springer, p. 497-517 21 p. (Studies in Computational Intelligence; vol. 51).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    12 Citations (Scopus)

  • The iterated prisoner’s dilemma: 20 years on

    CHONG, S. Y., HUMBLE, J., KENDALL, G., LI, J. & YAO, X., May 2007, The Iterated Prisoners' Dilemma : 20 Years On. KENDALL, G., YAO, X. & CHONG, S. Y. (eds.). World Scientific Publishing Co., p. 1-21 21 p. (Advances in Natural Computation; vol. 4).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    2 Citations (Scopus)
  • 2005

    Hybrid Evolutionary Approaches to Terminal Assignment in Communications Networks

    YAO, X., WANG, F., PADMANABHAN, K. & SALCEDO-SANZ, S., 2005, Recent Advances in Memetic Algorithms. HART, W. E., SMITH, J. E. & KRASNOGOR, N. (eds.). 1 ed. Springer-Verlag Italia Srl, p. 129-159 31 p. (Studies in Fuzziness and Soft Computing; vol. 166).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

  • Machine learning

    YAO, X. & LIU, Y., 2005, Search Methodologies : Introductory Tutorials in Optimization and Decision Support Techniques. BURKE, E. K. & KENDALL, G. (eds.). 1st ed. Springer New York, p. 341-373 33 p.

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

    5 Citations (Scopus)
  • 2004

    Automatic modularization with speciated neural network ensemble

    KHARE, V. R. & YAO, X., 2004, Recent Advances in Simulated Evolution and Learning. TAN, K. C., LIM, M. H., YAO, X. & WANG, L. (eds.). World Scientific, p. 268-283 16 p. (Advances in Natural Computation; vol. 2).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

  • 2003

    Constrained Evolutionary Optimization

    RUNARSSON, T. & YAO, X., 2003, Evolutionary Optimization. SARKER, R., MOHAMMADIAN, M. & YAO, X. (eds.). Springer New York, p. 87-113 27 p. (International Series in Operations Research & Management Science; vol. 48).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

  • Designing Neural Network Ensembles by Minimizing Mutual Information

    LIU, Y., YAO, X. & HIGUCHI, T., 2003, Computational Intelligence in Control. MOHAMMADIAN, M., SARKER, R. A. & YAO, X. (eds.). Idea Group Publishing, p. 1-21 21 p.

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

  • Evolutionary Computation

    YAO, X., 2003, Evolutionary Optimization. SARKER, R., MOHAMMADIAN, M. & YAO, X. (eds.). Springer New York, p. 27-53 27 p. (International Series in Operations Research & Management Science; vol. 48).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

  • 1994

    The Evolution of Connectionist Networks

    YAO, X., 1994, Artificial Intelligence and Creativity: An Interdisciplinary Approach. DARTNALL, T. (ed.). Springer Dordrecht, p. 233-243 11 p. (Studies in Cognitive Systems; vol. 17).

    Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review