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Research Publications

Cercia is an active research centre and has our researcher regularly have their work published in internationally recognised publications.

  1. T. Schnier et al, “Nature Inspired Creative Design - Bringing Together Ideas from Nature, Computer Science, Engineering, Art, Design”, Tom Innes (ed), Designing for the 21st Century: Questions and Issues , Gower Ashgate, 2007. To appear.
  2. H. Bassiuny and X. Li, “Flute Breakage Detection during End Milling using Hilbert-Huang Transform and Smoothed Nonlinear Energy Operator”, International Journal of Machine Tools and Manufacture. To appear.
  3. R. Beale, R.J. Hendley, A. Pryke and B. Wilkins, “Nature-inspired Visualisation of Similarity and Relationships in Human Systems and Behaviours”. Information Visualization 2006 (special issue). To appear.
  4. J.A. Bullinaria and J.P Levy, “Extracting Semantic Representations from Word Co-occurrence Statistics: A Computational Study”, Behavior Research Methods. To appear.
  5. A. Chandra and X. Yao, “Evolving hybrid ensembles of learning machines for better generalisation”, Neurocomputing. To appear.
  6. P. Duell, I. Fermin and X. Yao, “Diversity creation in local search for the evolution of neural network ensembles”, Proc. of the 14th European Symposium on Artificial Neural Networks (ESANN'2006), 26-28 April, Bruges, Belgium
  7. J. Li, Z. Shi, X. Li, “ Genetic Programming with Wavelet-Based Indicators for Financial Forecasting”, Transactions of the Institute of Measurement and Control. 2006. To appear.
  8. J. Li, Z. Shi and X. Li, “Genetic Programming with Wavelet-Based
    Indicators for Financial Forecasting”, Transactions of the Institute of Measurement and Control, 28 (3), August 2006. To appear.
  9. J. Li and S. Taiwo, “Enhancing Financial Decision Making Using Multi-Objective Financial Genetic Programming”, Proc.of 2006 IEEE Congress on Evolutionary Computation (CEC'06),  July 16-21, Sheraton Vancouver Wall Centre, Vancouver, BC, Canada, 2006
  10. X. Li, J. Li and X. Yao, “A Wavelet-Based Pre-processing Technique for Mass Spectrometry”, Computers in Biology and Medicine. To appear.
  11. X. Li and S. K. Tso, “Improving Automatic Detection of Defects in Castings by Applying Wavelet Technique”, IEEE Transactions on Industrial Electronics. To appear.
  12. X. Li, X. Yao, J.R.G. Jefferys and J. Fox, “Interaction Dynamics of Neuronal Oscillations with Wavelet”, Journal of Neuroscience Methods . 2006. To appear.
  13. P. C. H. Ma, K. C. C. Chan, X. Yao and D. K. Y. Chiu, “An Evolutionary Clustering Algorithm for Gene Expression Microarray Data Analysis'', IEEE Transactions on Evolutionary Computation, 10(3): 296-314. 2006.
  14. G. Ouyang and X. Li, “Application of Wavelet-based Similarity Analysis to Epileptic Seizures Prediction”, Computers in Biology and Medicine. 2006. To appear.
  15. S. He, Q. H. Wu, and J. R. Saunders. “Breast cancer diagnosis using artificial neural network trained by group search optimizer”,Transactions of the Institute of Measurement and Control. To appear.
  16. S. Salcedo-Sanz, F. Cruz-Rold\'an, C. Heneghan and X. Yao, “Evolutionary Design of Digital Filters with Application to Sub-band Coding and Data Transmission”, IEEE Transactions on Signal Processing. 2006. To appear.
  17. E. K. Tang, P. N. Suganthan and X. Yao, “An Analysis of Diversity Measures”, Machine Learning. 2006. To appear.
  18. Z. Y. Wang, V. Palade, and Y. Xu, “Neuro-Fuzzy Ensemble Approach for Microarray Cancer Gene Expression Data Analysis”, Proc. of the second International Symposium on Evolving Fuzzy System, 7-9 September, Lake District, UK, 2006.
  19. S. He, Q.H. Wu and J.R. Saunders (2006). “A novel group search optimizer inspired by animal behavioural Ecology”, in Proc.g of 2006 IEEE Congress on Evolutionary Computation (CEC'06), July 16-21, 2006 Sheraton Vancouver Wall Centre, Vancouver, BC, Canada.
  20. J. Li, X. Yao, “A Dynamical System Model for Analysing Economic
    Impacts of Water Competition upon A Water Company”, The 5th International Symposium on Waste Treatment Technologies at CIWM 2006, 12-16 June, Paignton, Torbay, UK.
  21. S. He, Q. H. Wu, and J. R. Saunders. “A group search optimizer for neural network training”, 2006 International Conference on Computational Science and its Applications (ICCSA 2006), Glasgow. May 2006. Lecture Notes in Computer Science, 3982: 934-943, Springer.
  22. S. Y. Chong and X. Yao, “Self-Adaptive Payoff Matrices in Repeated Interactions”, Proc. of the 2006 IEEE Symposium on Computational Intelligence and Games (CIG'06), 22-24 May, pp. 103-110, IEEE Press, Piscataway, NJ, USA, 2006.
  23. P. Sun and X. Yao, “Efficient forward kernel regression with marginal likelihood”, Proc. of the 14th European Symposium on Artificial Neural Networks (ESANN'2006), 26-28 April, Bruges, Belgium, 2006.
  24. X. Li and G. Ouyang, “Nonlinear Similarity Analysis for Epileptic Seizures Prediction”, Nonlinear Analysis: Theory, Methods & Applications, 64(8):1666-1678, April 2006.
  25. T. Schnier, “Bringing Together Ideas from Nature, Computer Science, Engineering, Art, Design”, Design Dialogs, Designing for the 21st Century Programme, RIBA London, March 2006.
  26. S. Salcedo-Sanz, Y. Xu, and X. Yao, “Hybrid Meta-Heuristics Algorithms for Task Assignment in Heterogeneous Computing Systems”, Computers & Operations Research, 33(3): 820-835, March 2006.
  27. X. Yao, “A research-led and industry-oriented MSc program in Natural Computation,” IEEE Computational Intelligence Magazine, 1(1): 39-40, February 2006.
  28. H. Handa, L. Chapman and X. Yao, “Robust route optimisation for gritting/salting trucks: A Cercia experience'', IEEE Computational Intelligence Magazine, 1(1): 6-9, February 2006.
  29. X. Yao, Y. Liu, J. Li, J. He and C. M. Frayn, “ Current developments and future directions of bio-inspired computation and implications for ecoinformatics”, Ecological Informatics, 1(1): 9-22, January 2006.
  30. X. Yao and Y. Xu, “Recent Advances in Evolutionary Computation”, Journal of Computer Science and Technolgy, 21(1): 1-18, January 2006.
  31. Y. Xu, K.W. Wong, and C.S. Leung, “Generalized RLS Approach to the Training of Neural Networks”, IEEE Trans. on Neural Networks, 17(1): 19-34, January 2006.
  32. J.A. Bullinaria, “Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks”, Proc. of the International Joint Conference on Neural Networks (IJCNN 2006), pp. 9857-9864, Piscataway, NJ, IEEE, 2006.
  33. J.A. Bullinaria, “Understanding the Advantages of Modularity in Neural Systems”, Proc. of the 28th Annual Conference of the Cognitive Science Society, pp. 119-124, Mahwah, NJ, Lawrence Erlbaum Associates, 2006.
  34. A. Chandra, H. Chen and X. Yao, “Trade-off between diversity and accuracy in ensemble generation”, Multi-objective Machine Learning, Yaochu Jin (Ed.), pp.429-464, Springer-Verlag, 2006.
  35. C. M. Frayn, “Applying Natural Computation to Real World Business: Selected Highlights from Cercia”, Proc. of ICNNAI 2006,pp. 26-35, Brest, Belarus, 2006.
  36. C. M. Frayn, “ChessBrain II : A Hierarchical Infrastructure for Distributed Inhomogeneous, Speed-Critical Computation”, Proc. of CIG 2006, pp. 13-18, Reno, Nevada, 2006.
  37. C. M. Frayn, A.N.Pryke and S.Y.Chong, “Exploring the Effect of Proximity and Kinship on Mutual Cooperation in the Iterated Prisoner's Dilemma”, Proc. of PPSN 2006, pp.701-710, Reykjavik, Iceland, 2006.
  38. D.J. Jenkins and C.M. Frayn, “Highly Volatile Game Tree Search in Chain Reaction”, Proc. of CIG 2006, pp. 217-223, Reno, Nevada, 2006.
  39. X. Li, “Temporal structure of neuronal population oscillations with empirical model decomposition”, Phy. Lets. A. 356(3): 237-241, 2006.
  40. X. Li, Y. Ou, X.P.Guan, and R. Du, “Ram Velocity Control in Plastic Injection Molding Machines with Higher Order Iterative Learning”, Control and Intelligent Systems, 34(1): 64-71, 2006.
  41. A. Pryke, H. Evdorides and R.A. Ermaileh, “Optimization of pavement design using a genetic algorithm”, Proc. of the IEEE Congress on Evolutionary Computing (CEC 2006), 2006.
  42. P. Rohlfshagen and J.A. Bullinaria, “An Exonic Genetic Algorithm with RNA Editing Inspired Repair Function for the Multiple Knapsack Problem”, Proc. of the UK Workshop on Computational Intelligence(UKCI 2006), Leeds, United Kingdom, 2006.
  43. P. Rohlfshagen and J.A. Bullinaria, “Alternative Splicing in Evolutionary Computation: Adaptation in Dynamic Environments”, Proc. of the IEEE Congress on Evolutionary Computing (CEC 2006), pp. 8041-8048, Piscataway, NJ, IEEE, 2006.
  44. T. Schnier et al, “ Nature Inspired Creative Design - Bringing Together Ideas from Nature, Computer Science, Engineering, Art, Design”, I.C.Parmee (Ed.), Adaptive Computing in Design and Manufacture, Proc. of the Seventh International Conference (ACDM) at The Institute for People Centred Computation, pp. 237-40, Bristol, United Kingdom, 2006.
  45. Y. Xu and X. Yao, “A GA Approach to the Optimal Placement of Sensors in Wireless Sensor Networks with Obstacles and Preferences”, Proc. of IEEE Consumer Communications and Networking Conference, 7-10 January, pp.127-131, Las Vegas, NV, USA, 2006.
  46. S. Salcedo-Sanz, Y. Xu and X. Yao, “Meta-heuristic Algorithms for FPGA Segmented Channel Routing Problems with Non-standard Cost Functions”, Genetic Programming and Evolvable Machines, 6(4): 359-379, December 2005.
  47. S. Y. Chong and X. Yao, “ Behavioral Diversity, Choices, and Noise in the Iterated Prisoner’s Dilemma”, IEEE Transactions on Evolutionary Computation, 9(6): 540-551, December 2005.
  48. S. Yang and X. Yao, “Experimental study on population-based incremental learning algorithms for dynamic optimization problems”, Soft Computing, 9(11): 815-834, November 2005.
  49. K. Atashkari, N. Nariman-Zadeh, A. Pilechi, A. Jamali and X. Yao,“ Thermodynamic Pareto Optimization of Turbojet Engines using Multi-objective Genetic Algorithms”, International Journal of Thermal Sciences, 44(11): 1061-1071, November 2005.
  50. X. Li, R. Du, B. Denkena and J. Imiela, “Tool Breakage Monitoring Using Motor Current Signals for Machine Tools with Linear Motors”, IEEE Transactions on Industrial Electronics, 52(5): 1403-1409, October 2005.
  51. K.H. Liu and Y. Xu, “Combining GA with Splitting Methods for the Rearrangeably Nonblocking Grooming of Dynamic Traffic in SONET Ring Networks”, Photonic Network Communications, (10) 2: 179-192, September 2005.
  52. H. Handa, L. Chapman and X. Yao, “ Dynamic Salting Route Optimisation using Evolutionary Computation”, Proc. of the 2005 Congress on Evolutionary Computation (CEC'05), Vol. 1, pp.158-165, 2-5 September, IEEE Press, Piscataway, NJ, USA, 2005.
  53. X. Li and X. Yao, “ Application of Fuzzy Similarity to Prediction of Epileptic Seizures using EEG signals”, Proc. of the 2005 International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’05), 27-29 August, Changsha, Hunan, China. Lecture Notes in Artificial Intelligence, Vol. 3613, pp.645-652, Springer-Verlag, 2005.
  54. J. He and X. Yao, “ A Game-Theoretic Approach for Designing Mixed Mutation Strategies”, Proc. of the 2005 International Conference on Natural Computation (ICNC'05), 27-29 August, Changsha, Hunan, China.
  55. P. Tino, N. Nikolaev and X. Yao, “Volatility Forecasting with Sparse Bayesian Kernel Models”, Proc. of the 4th International Conference on Computational Intelligence in Economics and Finance (CIEF'05), 21-26 July, Salt Lake City, Utah, USA, 2005.
  56. N. Nariman-Zadeh, K. Atashkari, A. Jamali, A. Pilechi and X. Yao, “ Inverse modelling of multi-objective thermodynamically optimized turbojet engines using GMDH-type neural networks and evolutionary algorithms”, Engineering Optimization, 37(5): 437-462, July 2005.
  57. Y. Xu, S. Salcedo-Sanz and X. Yao, “Metaheuristic approaches to traffic grooming in WDM optical networks” International Journal of Computational Intelligence and Applications, 5(2): 231-249, June 2005.
  58. Y. Xu, S. Salcedo-Sanz and X. Yao, “ Editorial to the Special Issue on Nature Inspired Approaches to Networks and Telecommunications”, International Journal of Computational Intelligence and Applications, 5(2):iii-vii, June 2005.
  59. X. Li and X. Yao, “Multi-scale Statistical Process Monitoring in Machining”, IEEE Transactions on Industrial Electronics, 52(3): 924-927, June 2005.
  60. X. Li, J. Polygiannakis, P. Kapiris, A. Peratzakis, K. Eftaxias and X. Yao, “ Fractal spectral analysis of pre-epileptic seizures in terms of criticality”, Journal of Neural Engineering, 2(2): 11-16, June 2005.
  61. J. Li , X. Li, C.M. Frayn, P. Tino and X. Yao, “Understanding and Predicting Dynamical Behaviours in Financial Markets: Financial Application Research in CERCIA,” 10th Annual Workshop on Economic Heterogeneous Interacting Agents (WEHIA 2005), University of Essex, UK, June 2005.
  62. V. Khare, X. Yao and B. Sendhoff, “Multi-network evolutionary systems and automatic problem decomposition”, International Journal of General Systems, June 2005.
  63. T. Runarsson and X. Yao, “ Search Bias in Constrained Evolutionary Optimization,” IEEE Transactions on Systems, Man, and Cybernetics, Part C, 35(2): 233-243, May 2005.
  64. Q. Lu and X. Yao, “ Clustering and Learning Gaussian Distribution for Continuous Optimization”, IEEE Transactions on Systems, Man, and Cybernetics, Part C, 35(2): 195-204, May 2005.
  65. J. He, X. Yao and J. Li, “ A Comparative Study of Three Evolutionary Algorithms Incorporating Different Amount of Domain Knowledge for Node Covering Problems”, IEEE Transactions on Systems, Man, and Cybernetics, Part C, 35(2): 266-271, May 2005.
  66. A. Chandra and X. Yao, “Ensemble learning using multi-objective evolutionary algorithms”, Journal of Mathematical Modelling and Algorithms, May 2005. To appear.
  67. M. Tang and X. Yao, “A Memetic Algorithm for VLSI Floorplanning”, IEEE Transactions on Systems, Man, and Cybernetics, Part C, to appear, 2005.
  68. E. K. Tang, P. N. Suganthan, X. Yao, A. K. Qin, “Linear dimensionality reduction using relevance weighted LDA”, Pattern Recognition, 38(4): 485-493, April 2005.
  69. A. Chandra and X. Yao, “Evolutionary Framework for the Construction of Diverse Hybrid Ensembles”, Proc. of the 13th European Symposium on Artificial Neural Networks (ESANN'2005), 27-29 April, pp. 253-258, Bruges, Belgium, 2005.
  70. N. Samways, T. Schnier, “Automatic Selection in Evolutionary Art”, Workshop on Creative Evolutionary Computation, Goldsmiths College, February 2005.
  71. G. Brown, J. L. Wyatt, R. Harris and X. Yao, “Diversity Creation Methods: A Survey and Categorisation”, Information Fusion, 6(1): 5-20, January 2005.
  72. R. Beale and A. Pryke, “Ambient Intelligent Data Mining”, in J. Fulcher (Ed.), Advances in Applied Artificial Intelligence, IGI Press, 2005.
  73. J. He and X. Yao, “A Game-Theoretic Approach for Designing Mixed Mutation Strategies,” Proc. of the 2005 International Conference on Natural Computation (ICNC'05), Changsha, Hunan, China, 27-29 August 2005, Lecture Notes in Computer Science, Vol.3612, pp.279-288.
  74. P.G. Kapiris, J. Polygiannakis, X. Li, X. Yao and K.A. Eftaxias, “Similarities in precursory features in seismic shocks and epileptic seizures”, Europhys. Lett.,69(4): 657–663, 2005.
  75. V. R. Khare, X. Yao, B. Sendhoff, Y. Jin and H. Wersing, “ Co-evolutionary modular neural networks for automatic problem decomposition”, Proc. of the 2005 Congress on Evolutionary Computation (CEC'05), Vol. 3, pp.2691-2698, 2-5 September, IEEE Press, Piscataway, NJ, USA, 2005.
  76. J. Li, X. Li and X. Yao, “ Cost-Sensitive Classification with Genetic Programming”, Proc. of the 2005 Congress on Evolutionary Computation (CEC'05), Vol. 3, pp. 2114-2121, IEEE Press, Piscataway, NJ, USA, 2005.
  77. X. Li, “ Development of current sensor for cutting force measurement in turning”, IEEE Transactions on Instrumentation and Measurement, 54(1): 289-296, 2005.
  78. X. Li and R. Du, “Condition Monitoring Using Latent Process Model with an Application to Sheet Metal Stamping Processes”, ASME Trans. J. Manuf. Sci. Engg., 127(2): 376-385, 2005.
  79. X. Li, P.G. Kapiris, J. Polygiannakis, K.A. Eftaxias and X. Yao, “Fractal spectral analysis of pre-epileptic seizures phase: in terms of criticality”, Journal of Neural Engineering, (2): 11-16, 2005.
  80. X. Li and X. Yao, “Multi-scale Statistical Process Monitoring in Machining”, IEEE Transactions on Industrial Electronics, 52(3): 924-927, 2005.
  81. Y. Liu and X. Yao, “Nature Inspired Neural Network Ensemble Learning”, Journal of Intelligent Systems, 2005.
  82. X. Li, X. Yao, J. Jefferys and J. Fox, “ Computational Neuronal Oscillation with Morelet Wavelet Transform”, Proc. of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Shanghai, 2005.
  83. A. Pryke and R. Beale, “ Interactive Comprehensible Data Mining. Ambient Intelligence for Scientific Discovery: Foundations, Theories, and Systems”, Lecture Notes in Computer Science, C. Yang (Ed.), Vol. 3345. pp. 48-65, Springer-Verlag, 2005.
  84. J. Bullinaria, Connectionist Neuropsychology, G. Houghton (Ed.), Connectionist Models in Cognitive Psychology, Brighton, UK, Psychology Press. (Forthcoming 2004)
  85. A.Pryke, R. Beale, Haiku: Interactive Comprehensible Data Mining, Ambient Intelligence for Scientific Discovery, Springer-Verlag Lecture Notes in Computer Science (Forthcoming, 2004).
  86. J. Li, X. Yao, C. Frayn, H. G. Khosroshahi and S. Raychaudhury (2004). An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies, Proc. of the 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), LNCS 3242, 591-601. Berlin: Springer-Verlag. (Forthcoming, 2004)
  87. X. Li, X. Yao, Multi-scale Statistical Process Monitoring in Machining, IEEE Trans. Industrial Electronics (Accepted in Aug. 2004) 
  88. B. Bedkena, H. K. Tonshoff, X. Li, J. Imiela, C. Lapp, Modelling, Control And Monitoring Of The Direct Linear Drive In End Milling. Int. Journal of Production Research (Accepted in Aug. 2004).
  89. S. Salcedo-Sanz, X. Yao, A hybrid Hopfield network-genetic algorithm approach for the terminal assignment problem, IEEE Systems, Man, and Cybernetics, part B. (Accepted in July 2004).
  90. X. Li, R. Du, Condition Monitoring Using Latent Process Model with an Application to Sheet Metal Stamping Processes, ASME Trans. J. Manuf. Sci. Engg. (Accepted in June 2004)  
  91. X. Li, R. Du, Monitoring Machining Processes Based On Discrete Wavelet Transform And Statistical Process Control, International Journal of Wavelets, Multi-resolution and Information Processing, (Accepted in June 2004)
  92. S. Salcedo-Sanz, Y. Xu, X. Yao, Hybrid Meta-Heuristics Algorithms for Task Assignment in Heterogeneous Computing Systems, Computers and Operational Research (Accepted in June 2004).
  93. J. He, X. Yao, J. Li, A Comparative Study of Three Evolutionary Algorithms Incorporating Different Amount of Domain Knowledge for Node Covering Problems, IEEE Transactions on Systems, Man, and Cybernetics, Part C, (Accepted March 2004).
  94. Q. Lu, X. Yao, Clustering and Learning Gaussian Distribution for Continuous Optimization, IEEE Transactions on Systems, Man, and Cybernetics, Part C, (Accepted March 2004).
  95. T. Runarsson, X. Yao, Search Bias in Constrained Evolutionary Optimization, IEEE Transactions on Systems, Man, and Cybernetics, Part C, (Accepted March 2004).
  96. G. Brown, J. L. Wyatt, R. Harris, X. Yao, Diversity Creation Methods: A Survey and Categorisation, Information Fusion, (Accepted January 2004).
  97. Y. Hao, J. Li, X. Li, Application of scaling and criticality to stock data, UK Workshop on Computational Intelligence. 6-8 September 2004.
  98. Y. Xu, S. Salcedo-Sanz, X. Yao, Metaheuristic Approaches to Traffic Grooming in WDM Optical Networks, Workshop in 8th International Conference on Parallel Problem Solving from Nature (PPSN'04), September 2004
  99. Chandra, X. Yao, DIVACE: Diverse and Accurate Ensemble Learning Algorithm, Proc. of the Fifth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'04), August 25-27, 2004, Exeter, UK.Z. Wang, X. Yao, Y. Xu, An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses, Proc. of the Fifth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'04), August 25-27, 2004, Exeter, UK.
  100. Z. Wang, X. Yao, Y. Xu, An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses, Proc. of the 5th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'04), Lecture Notes in Computer Science, Vol. 3177, Springer, August 2004, pp.572-577.
  101. J. He, X. Yao, Time Complexity Analysis of an Evolutionary Algorithm for Finding Nearly Maximum Cardinality Matching, Journal of Computer Science and Technology, 19(4):450-458, July 2004.
  102. Y. Xu, X. Yao, Lower Bound on Number of ADM's in WDM Rings with Non-uniform Traffic Demands, Electronics Letters, 40(13), pp. 824-825, June 2004.
  103. Y. Xu, S. Salcedo-Sanz, X. Yao, Non-standard Cost Terminal Assignment Problems Using Tabu Search Approach, Proc. of The 2004 Congress on Evolutionary Computation (CEC2004), Portland, Oregon, USA, Vol. 2, pp. 2302-2306, June 2004.
  104. S. Y. Chong, X. Yao, The Impact of Noise on Iterated Prisoner's Dilemma with Multiple Levels of Cooperation, Proc. of the 2004 Congress on Evolutionary Computation (CEC'04), pp.348-355, IEEE Press, Piscataway, NJ, USA, 19-23 June 2004, Portland, Oregon, USA.
  105. J. He, X. Yao, Q. Zhang, To understand one-dimensional continuous fitness landscapes by drift analysis, Proc. of the 2004 Congress on Evolutionary Computation (CEC'04), pp.1248-1253, IEEE Press, Piscataway, NJ, USA, 19-23 June 2004, Portland, Oregon, USA.
  106. E. K. Tang, P. N. Suganthan, X. Yao, Generalized {LDA} Using Relevance Weighting and Evolution Strategy, Proc. of the 2004 Congress on Evolutionary Computation (CEC'04), pp.2230-2234, IEEE Press, Piscataway, NJ, USA, 19-23 June 2004, Portland, Oregon, USA.
  107. S. Tongchim, X. Yao, Parallel Evolutionary Programming, Proc. of the 2004 Congress on Evolutionary Computation (CEC'04), pp.1362-1367, IEEE Press, Piscataway, NJ, USA, 19-23 June 2004, Portland, Oregon, USA.
  108. P. Zou, Z. Zhou, G.-L. Chen, X. Yao, A Novel Memetic Algorithm With Random Multi-Local-Search: A Case Study Of TSP, Proc. of the 2004 Congress on Evolutionary Computation (CEC'04), pp.2335-2340, IEEE Press, Piscataway, NJ, USA, 19-23 June 2004, Portland, Oregon, USA.
  109. T. Schnier, X. Yao, P. Liu, Digital Filter Design Using Multiple Pareto Fronts, Soft Computing, 8(5):332-343, April 2004.
  110. J. He and X. Yao, A Study Of Drift Analysis For Estimating Computation Time Of Evolutionary Algorithms, Natural Computing, 3(1):21-35, January 2004.
  111. C. Y. Lee, X. Yao, Evolutionary Programming Using The Mutations Based On The {L}\'evy Probability Distribution, IEEE Transactions on Evolutionary Computation, 8(1):1-13, January 2004.
  112. X. Yao, Y. Liu, Evolving Neural Network Ensembles By Minimization Of Mutual Information, International Journal of Hybrid Intelligent Systems, 1(1):12-21, January 2004.
  113. J. Bullinaria, On the Evolution of Irrational Behaviour, H. Bowman & C. Labiouse (Eds), Connectionist Models of Cognition and Perception II, Proc. of the Eighth Neural Computation and Psychology Workshop, 211-220. Singapore: World Scientific, 2004.
  114. J. Bullinaria, Generational versus Steady-State Evolution for Optimizing Neural Network Learning, Proc. of the International Joint Conference on Neural Networks (IJCNN 2004), 2297-2302. IEEE, 2004.
  115. C. Frayn, C. Justiniano, Proceedings IC-SEC Workshop on Grid Computing and Applications, 2004, 10-13
  116. E.P.K. Tsang, P. Yung, J. Li (2004). EDDIE-Automation, A Decision Support Tool For Financial Forecasting, Journal of Decision Support Systems, Special Issue on Data Mining for Financial Decision Making, (37) 559-565.
  117. X. Li and H. Li, X. Guan, R. Du, Fuzzy Estimation Of Feed-Cutting Force From Current Measurement - A Case Study On Tool Wear Monitoring, IEEE Trans. Systems, Man, and Cybernetics Part C: Applications and Reviews, Vol. 2, No. 3 2004, pp.299-311.
  118. X. Li, X. Guan, Time-Frequency Analysis Based Minor Cutting Edge Fracture Detection During End Milling, Mechanical System and Signal Processing, 18 (2004), 1485-1496.  
  119. R. Beale, A. Pryke, Haiku: interactive comprehensible data mining, Workshop on Ambient Intelligence for Scientific Discovery, Conference on Human Factors in Computing Systems (CHI'04), 2004.
  120. R. Beale, A.Pryke, R.J. Hendley, Evolutionary Approaches to Visualisation and Knowledge Discovery, Proc. of 6th Asia-Pacific Conference on Computer-Human Interaction (APCHI'04), pp. 30-39, Springer, Berlin, 2004.
  121. X. Yao, F. Wang, K. Padmanabhan, S. Salcedo-Sanz, Hybrid Evolutionary Approaches to Terminal Assignment in Communications Networks, Recent Advances in Memetic Algorithms and Related Search Technologies, W. E. Hart, N. Krasnogor and J. E. Smith (eds), Springer-Verlag, 2004.
  122. W.-H. Au, K. C. C. Chan, X. Yao, Data Mining by Evolutionary Learning for Robust Churn Prediction in the Telecommunications Industry, IEEE Transactions on Evolutionary Computation, 7(6):532-545, December 2003.
  123. Y. Matsumura, X. Yao, J. L. Wyatt, K. Ohkura, K. Ueda, Robust Evolution Strategies Use Adaptive Search Strategies to Design Continuous-Time Recurrent Neural Networks, Proc. of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003), December 15-18, 2003, Singapore.
  124. J. He, X. Yao, An Analysis of Evolutionary Algorithms for Finding Approximation Solutions to Hard Optimisation Problems, Proc. of the 2003 Congress on Evolutionary Computation (CEC'03), IEEE Press, Piscataway, NJ, USA, 8-12 December 2003. pp.2004-2009.
  125. T. P. Runarsson, X. Yao, Evolutionary Search and Constraint Violations, Proc. of the 2003 Congress on Evolutionary Computation (CEC'03), IEEE Press, Piscataway, NJ, USA, 8-12 December 2003. pp.1414-1419.
  126. X. Yu, X. Yao, C.-H. Choi, G. Gou, Materialized View Selection As Constrained Evolutionary Optimization, IEEE Transactions on Systems, Man and Cybernetics, Part C, 33(4):458-467, November 2003.
  127. H. Tianfield, J. Tian, X. Yao, On the Architectures of Complex Multi-Agent Systems, Proc. of the Workshop on Knowledge Grid and Grid Intelligence (ISBN 0-9734039-0-X), held at the 2003 IEEE/WIC International Conference on Web Intelligence / Intelligent Agent Technology, October 13 - 16, 2003, Halifax, Canada, pp. 195-206.
  128. Md. Monirul Islam, X. Yao, K. Murase, A Constructive Algorithm For Training Cooperative Neural Network Ensembles, IEEE Transactions on Neural Networks, 14(4):820-834, July 2003.
  129. J. He, X. Yao, Towards An Analytic Framework For Analysing The Computation Time Of Evolutionary Algorithms, Artificial Intelligence, 145(1-2):59-97, April 2003.
  130. V. Khare, X. Yao, K. Deb, Performance Scaling of Multi-objective Evolutionary Algorithms, Proc. of the 2nd International Conference on Evolutionary Multi-Criterion Optimization (EMO'03), Lecture Notes in Computer Science, Vol. 2632, Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (Eds.), Springer-Verlag, April 2003, pp.376-390.
  131. T. Schnier, X. Yao, Using Negative Correlation To Evolve Fault-Tolerant Circuits, Proc. of the 5th International Conference on Evolvable Systems: From Biology to Hardware (ICES'2003), Lecture Notes in Computer Science, Vol. 2606, A. M. Tyrrell, P. C. Haddow and J. Torresen (Eds.), Springer-Verlag, March 2003, pp.35-46
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Content last updated: February 26 2009