Xin Yao's Publications

Book Chapters

  1. T. T. Nguyen and X. Yao, ``Dynamic Time-Linkage Evolutionary Optimization: Definitions and Potential Solutions,'' in Metaheuristics for Dynamic Optimization, E. Alba, A. Nakib and P. Siarry (eds.), Studies in Computational Intelligence, Volume 433, pp.371-395, Springer, Berlin, 2013.

  2. P. Rohlfshagen and X. Yao, ```Dynamic conbinatorial optimization problems: A fitness landscape analysis,'' in Metaheuristics for Dynamic Optimization, E. Alba, A. Nakib and P. Siarry (eds.), Studies in Computational Intelligence, Volume 433, Chapter 5, pp.79-97, Springer, Berlin, 2013.

  3. D. W. Corne, K. Deb, J. Knowles and X. Yao, ``Selected Aspects of Natural Computing,'' Chapter 52, Handbook of Natural Computing, Grzegorz Rozenberg, Thomas B\"ack, Joost N. Kok (editors), pp.1737-1801, Springer, Berlin, 2012.

  4. H. Chen, A. G. Cohn and X. Yao, ``Ensemble Learning by Negative Correlation Learning,'' in Ensemble Machine Learning: Methods and Applications, C. Zhang and Y. Ma (eds.), Chapter 6, pp.177-202, Springer, 2012.

  5. P. S. Oliveto and X. Yao, ``Runtime Analysis of Evolutionary Algorithms for Discrete Optimization,'' in Theory of Randomized Search Heuristics: Foundations and Recent Developments, A. Auger and B. Doerr (eds.), pp.21-52, World Scientific, February 2011, eISBN: 9789814282673.

  6. E. Robinson, P. McBurney and X. Yao, ``How specialised are specialists? Generalisation properties of entries from the 2008 and 2009 TAC Market Design Competitions,'' in Agent-Mediated Electronic Commerce: Designing Trading Strategies and Mechanisms, E. David et al. (eds.), Lecture Notes in Business Information Processing, Vol.59, pp.178-194, Springer-Verlag.
    Preprint available.

  7. T. Schnier, R. Beale, X. Yao, R. Hendley and W. Byrne, ``Nature Inspired Creative Design --- Bringing Together Ideas from Nature, Computer Science, Engineering, Art and Design,'' in Designing for the 21st Century: Interdisciplinary Questions and Insights, Tom Innes (ed), pp.192-204, Gower Ashgate, December 2007. ISBN: 978-0-566-08737-0.

  8. P. Duell and X. Yao, ``Implementing negative correlation learning in evolutionary ensembles,'' In Patter Recognition Technologies and Applications --- Recent Advances, B. Verma and M. Blumenstein (eds.), Chapter 16, pp.344-369, Information Science Reference (an imprint of IGI Global), Hershey, PA 17033, USA. ISBN-13: 978-1-59904-807-9 (hardcover).

  9. P. C. H. Ma, K. C. C. Chan and X. Yao, ``Finding clusters in gene expression data using {EvoCluster},'' In Computational Intelligence in Bioinformatics, G. Fogel, D. W. Vorne and Y. Pan (eds.), Chapter 3, pp.41-66, IEEE Press Series on Computational Intelligence, John Wiley & Sons, Inc., Hoboken, NJ, USA, 2008.

  10. D. Bartram, M. Burrow and X. Yao, ``A Computational Intelligence Approach to Railway Track Intervention Planning,'' In Evolutionary Computation in Practice, T. Yu, D. Davis, C. Baydar and R. Roy (eds.), Chapter 8, pp.163-198, 2008, Springer-Verlag, Berlin.

  11. S. Y. Chong, J. Humble, G. Kendall, J. Li and X. Yao, ``The iterated prisoner's dilemma: 20 years on,'' In The Iterated Prisoners' Dilemma: 20 Years On, G. Kendall, X. Yao and S. Y. Chong (eds), Volume 4 in Advances in Natural Computation, Chapter 1, pp.1-21, World Scientific, Singapore, May 2007. (ISBN-13 978-981-270-697-3)

  12. S. Y. Chong, J. Humble, G. Kendall, J. Li and X. Yao, ``Iterated prisoner's dilemma and evolutionary game theory,'' In The Iterated Prisoners' Dilemma: 20 Years On, G. Kendall, X. Yao and S. Y. Chong (eds), Volume 4 in Advances in Natural Computation, Chapter 2, pp.23-62, World Scientific, Singapore, May 2007. (ISBN-13 978-981-270-697-3)

  13. S. Y. Chong, J. Humble, G. Kendall, J. Li and X. Yao, ``Learning {IPD} strategies through co-evolution,'' In The Iterated Prisoners' Dilemma: 20 Years On, G. Kendall, X. Yao and S. Y. Chong (eds), Volume 4 in Advances in Natural Computation, Chapter 3, pp.63-87, World Scientific, Singapore, May 2007. (ISBN-13 978-981-270-697-3)

  14. Z. Yang, J. He and X. Yao, ``Making a Difference to Differential Evolution,'' In Advances in Metaheuristics for Hard Optimization, Zbigniew Michalewicz and Patrick Siarry (eds.), pp.397-414, Springer, December 2007. (ISBN: 978-3-540-72959-4)

  15. P. Sun and X. Yao, ``A gradient-based forward greedy algorithm for Sparse Gaussian Process Regression,'' In Trends in Neural Computation, K. Chen and L. Wang (ed.), pp.241-263, Springer-Verlag, 2007. (ISBN:1860-949X)
    Available here.

  16. A. Chandra, H. Chen and X. Yao, ``Trade-off between diversity and accuracy in ensemble generation,'' In Multi-objective Machine Learning, Yaochu Jin (Ed.), pp.429-464, Springer-Verlag, 2006. (ISBN: 3-540-30676-5)

  17. S. Y. Chong and X. Yao, `` Evolving cooperation in complex behavioral interactions through reputation,'' In Computational Intelligence: Principles and Practice, G. Y. Yen and D. B. Fogel (Ed.), IEEE Computational Intelligence Society, Chapter 11, pp.237-256, July 2006. (ISBN:0-9787135-0-8)

  18. X. Yao, F. Wang, K. Padmanabhan and S. Salcedo-Sanz, ``Hybrid Evolutionary Approaches to Terminal Assignment in Communications Networks,'' In Recent Advances in Memetic Algorithms and Related Search Technologies, W. E. Hart, N. Krasnogor and J. E. Smith (eds), Springer-Verlag, pp.129-159, 2004.

  19. Y. Liu, X. Yao and T. Higuchi, ``Designing neural network ensembles by minimizing mutual information,'' In Computational Intelligence in Control, M. Mohammadian, R. A. Sarker and X. Yao (eds.), Chapter~1, pp.1-21, Idea Group Publishing, Hershey, PA 17033-1117, USA, 2003.

  20. X. Yao, Y. Liu, K.-H. Liang and G. Lin, ``Optimal Search Step Size and Fast Evolutionary Algorithms,'' In Advances in Evolutionary Computing: Theory and Applications, A. Ghosh and S. Tsutsui (eds.), Chapter~2, pp.45-94, Springer-Verlag, 2002.

  21. T. Runarsson and X. Yao, ``Constrained evolutionary optimization: The penalty function approach,'' In Evolutionary Optimization, R. Sarker, M. Mohammadian and X. Yao (eds.), Chapter~4, pp.87-113, Kluwer Academic Publishers, Boston, 2002. (ISBN 0-7923-7654-4)

  22. X. Yao, ``Evolutionary computation: A gentle introduction,'' In Evolutionary Optimization, R. Sarker, M. Mohammadian and X. Yao (eds.), Chapter~2, pp.27-53, Kluwer Academic Publishers, Boston, 2002. (ISBN 0-7923-7654-4)

  23. X. Yao and Y. Liu, ``From evolving a single neural network to evolving neural network ensembles,'' In Advances in the Evolutionary Synthesis of Intelligent Agents, Mukesh J. Patel, Vasant Honavar and Karthik Balakrishnan (eds.), Chapter 14, pp.383-427, The MIT Press, Cambridge, MA, 2001. (ISBN 0-262-16201-6)

  24. X. Yao, ``Evolving Computational Neural Networks by Evolutionary Computation,'' In GeoComputational Modeling Techniques and Applications, Manfred M. Fischer and Yee Leung (eds.), Chapter 3, pp.35-70, Springer-Verlag, Berlin, 2001. (ISBN 3-540-41968-3)

  25. J. Bobbin and X. Yao, ``Evolving rules for nonlinear control,'' In New Frontier in Computational Intelligence and its Applications, Masoud Mohammadian (ed.), IOS Press, Amsterdam, 2000, pp.197-202. (ISBN 90 5199 476 1)
    (Available as a gzipped ps file.)

  26. X. Yao and P. Darwen, ``Genetic algorithms and evolutionary games,'' In Commerce, Complexity and Evolution, William Barnett, Carl Chiarella, Steve Keen, Robert Marks, Hermann Schnabl (ed.), Cambridge University Press, Chapter 16, pp.313-333, 2000.
    (Available as cce_seminar.ps.gz.)

  27. X. Yao, Y. Liu and P. Darwen, ``Exploiting population information in evolutionary learning,'' Evolutionary Computation and Intelligent Systems, M. Gen and Y. Tsujimura (ed.), Gordon and Breach Publ., 1997. Accepted.

  28. X. Yao, Y. Liu and P. Darwen, ``How to make best use of evolutionary learning,'' Complex Systems --- From Local Interactions to Global Phenomena, IOS Press, Amsterdam, pp.229-242, 1996.
    (Available as yao_liu_darwen_cs96.ps.gz.)

  29. F. Luan and X. Yao, ``Solving real-world lecture room assignment problems by genetic algorithms,'' Complex Systems --- From Local Interactions to Global Phenomena, IOS Press, Amsterdam, pp.148-160, 1996.

  30. X. Yao (1995f), ``Evolutionary artificial neural networks,'' In Encyclopedia of Computer Science and Technology, Vol.33, ed. A. Kent and J. G. Williams, Marcel Dekker Inc., New York. pp.137-170. Also appearing in Encyclopedia of Library and Information Science.
    (Available as encyclopedia.ps.Z).

  31. X. Yao (1994b), ``The evolution of connectionist networks,'' In Artificial Intelligence and Creativity: An Interdisciplinary Approach, ed. T. Dartnall, Kluwer Academic Publishers, Dordrecht, pp.233-243.
    (Available as kluwer.dvi.Z).

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