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Xin Yao: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
    Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:9-16 [Conf]
  2. Xin Yao, Yong Liu
    Getting Most Out of Evolutionary Approaches. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2002, pp:8-16 [Conf]
  3. Thorsten Schnier, Xin Yao, Pin Liu
    Digital Filter Design Using Multiple Pareto Fronts. [Citation Graph (0, 0)][DBLP]
    Evolvable Hardware, 2001, pp:136-145 [Conf]
  4. Vineet R. Khare, Xin Yao, Kalyanmoy Deb
    Performance Scaling of Multi-objective Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    EMO, 2003, pp:376-390 [Conf]
  5. Ko-Hsin Liang, Xin Yao, Yong Liu, Charles S. Newton, David Hoffman
    An Experimental Investigation of Self-Adaptation in Evolutionary Programming. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1998, pp:291-300 [Conf]
  6. Ko-Hsin Liang, Xin Yao, Charles S. Newton, David Hoffman
    Solving Cutting Stock Problems by Evolutionary Programming. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1998, pp:755-764 [Conf]
  7. Gerrit Riessen, Graham J. Williams, Xin Yao
    PEPNet: Parallel Evolutionary Programming for Constructing Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1997, pp:35-46 [Conf]
  8. Xin Yao, Yong Liu
    Evolving Artificial Neural Networks through Evolutionary Programming. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1996, pp:257-266 [Conf]
  9. Xin Yao, Yong Liu
    Fast Evolutionary Programming. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1996, pp:451-460 [Conf]
  10. Xin Yao, Yong Liu
    Fast Evolution Strategies. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1997, pp:151-162 [Conf]
  11. Xin Yao, Yong Liu
    Scaling Up Evolutionary Programming Algorithms. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1998, pp:103-112 [Conf]
  12. Xin Yao, Guangming Lin, Yong Liu
    An Analysis of Evolutionary Algorithms Based on Neighborhood and Step Sizes. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1997, pp:297-307 [Conf]
  13. Arjun Chandra, Xin Yao
    Evolutionary framework for the construction of diverse hybrid ensembles. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:253-258 [Conf]
  14. Pete Duell, Iris Fermin, Xin Yao
    Diversity creation in local search for the evolution of neural network ensembles. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:431-436 [Conf]
  15. Ping Sun, Xin Yao
    Efficient Forward Regression with Marginal Likelihood. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:485-490 [Conf]
  16. Paul J. Darwen, Xin Yao
    On Evolving Robust Strategies for Iterated Prisoner's Dilemma. [Citation Graph (0, 0)][DBLP]
    Evo Workshops, 1994, pp:276-292 [Conf]
  17. Xin Yao, Paul J. Darwen
    An Experimental Study of N-Person Iterated Prisoner's Dilemma Games. [Citation Graph (0, 0)][DBLP]
    Evo Workshops, 1994, pp:90-108 [Conf]
  18. Xiaoli Li, Xin Yao
    Application of Fuzzy Similarity to Prediction of Epileptic Seizures Using EEG Signals. [Citation Graph (0, 0)][DBLP]
    FSKD (1), 2005, pp:645-652 [Conf]
  19. Yalin Zheng, Changshui Zhang, Xin Yao
    Type-I Topological Logic C1I and Approximate Reasoning. [Citation Graph (0, 0)][DBLP]
    FSKD (1), 2005, pp:253-262 [Conf]
  20. Yong Liu, Xin Yao
    Search Step Size Control In Fast Evolutionary Programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:225- [Conf]
  21. Yong Liu, Xin Yao
    Maintaining Population Diversity By Minimizing Mutual Information. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:448-455 [Conf]
  22. Xin Yao, Changshui Zhang, Jinwen Chen, Yanda Li
    On the Scale-Free Intersection Graphs. [Citation Graph (0, 0)][DBLP]
    ICCSA (2), 2005, pp:1217-1224 [Conf]
  23. Ping Sun, Xin Yao
    Boosting Kernel Models for Regression. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:583-591 [Conf]
  24. Huanhuan Chen, Peter Tiño, Xin Yao
    A Probabilistic Ensemble Pruning Algorithm. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:878-882 [Conf]
  25. Paul J. Darwen, Xin Yao
    Automatic Modularization by Speciation. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:88-93 [Conf]
  26. Yong Liu, Xin Yao
    Evolutionary Design of Artificial Neural Networks with Different Nodes. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:670-675 [Conf]
  27. Xin Yao, Yong Liu
    Ensemble Structure of Evolutionary Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:659-664 [Conf]
  28. Thorsten Schnier, Xin Yao
    Evolutionary Design Calibration. [Citation Graph (0, 0)][DBLP]
    ICES, 2001, pp:26-37 [Conf]
  29. Thorsten Schnier, Xin Yao
    Using Negative Correlation to Evolve Fault-Tolerant Circuits. [Citation Graph (0, 0)][DBLP]
    ICES, 2003, pp:35-46 [Conf]
  30. Xin Yao, Tetsuya Higuchi
    Promises and Challenges of Evolvable Hardware. [Citation Graph (0, 0)][DBLP]
    ICES, 1996, pp:55-78 [Conf]
  31. Xin Yao
    Adaptive Divide-and-Conquer Using Populations and Ensembles. [Citation Graph (0, 0)][DBLP]
    ICMLA, 2003, pp:13-20 [Conf]
  32. Jun He, Xin Yao
    A Game-Theoretic Approach for Designing Mixed Mutation Strategies. [Citation Graph (0, 0)][DBLP]
    ICNC (3), 2005, pp:279-288 [Conf]
  33. Yong Liu, Xin Yao
    Make Fast Evolutionary Programming Robust by Search Step Control. [Citation Graph (0, 0)][DBLP]
    ICNC (1), 2006, pp:806-815 [Conf]
  34. Eam Khwang Tang, Ponnuthurai N. Suganthan, Xin Yao
    Nonlinear Feature Extraction Using Evolutionary Algorithm. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:1014-1019 [Conf]
  35. Arjun Chandra, Xin Yao
    DIVACE: Diverse and Accurate Ensemble Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:619-625 [Conf]
  36. Trung Thanh Nguyen, Xin Yao
    Hybridizing Cultural Algorithms and Local Search. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:586-594 [Conf]
  37. Majid Salim, Xin Yao
    Evolving SQL Queries for Data Mining. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2002, pp:62-67 [Conf]
  38. Zhenyu Wang, Xin Yao, Yong Xu
    An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:572-577 [Conf]
  39. Xin Yao, Nitin Kanani
    Call Routing by Simulated Annealing. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1995, pp:737-744 [Conf]
  40. Xin Yao
    The Evolution of Evolutionary Computation. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:19-20 [Conf]
  41. Yong Liu, Xin Yao
    Optimisation and Learning in Neural Network Learning. [Citation Graph (0, 0)][DBLP]
    Modelling, Simulation, and Optimization, 2003, pp:167-172 [Conf]
  42. Paul J. Darwen, Xin Yao
    Every Niching Method has its Niche: Fitness Sharing and Implicit Sharing Compared. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:398-407 [Conf]
  43. Vineet R. Khare, Bernhard Sendhoff, Xin Yao
    Environments Conducive to Evolution of Modularity. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:603-612 [Conf]
  44. Vineet R. Khare, Xin Yao, Bernhard Sendhoff
    Credit Assignment Among Neurons in Co-evolving Populations. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:882-891 [Conf]
  45. Jin Li, Xin Yao, Colin Frayn, Habib G. Khosroshahi, Somak Raychaudhury
    An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:591-601 [Conf]
  46. Yong Liu, Xin Yao
    Learning and Evolution by Minimization of Mutual Information. [Citation Graph (0, 0)][DBLP]
    PPSN, 2002, pp:495-504 [Conf]
  47. Yong Liu, Xin Yao
    Towards Designing Neural Network Ensembles by Evolution. [Citation Graph (0, 0)][DBLP]
    PPSN, 1998, pp:623-632 [Conf]
  48. Ko-Hsin Liang, Xin Yao, Charles S. Newton
    Dynamic Control of Adaptive Parameters in Evolutionary Programming. [Citation Graph (0, 0)][DBLP]
    SEAL, 1998, pp:42-49 [Conf]
  49. Yong Liu, Xin Yao
    Time Series Prediction by Using Negatively Correlated Neural Networks. [Citation Graph (0, 0)][DBLP]
    SEAL, 1998, pp:333-340 [Conf]
  50. Hongxing He, Warwick Graco, Xin Yao
    Application of Genetic Algorithm and k-Nearest Neighbour Method in Medical Fraud Detection. [Citation Graph (0, 0)][DBLP]
    SEAL, 1998, pp:74-81 [Conf]
  51. Jingsong He, Xin Yao, Jian Tang
    Towards Intrinsic Evolvable Hardware for Predictive Lossless Image Compression. [Citation Graph (0, 0)][DBLP]
    SEAL, 2006, pp:632-639 [Conf]
  52. Jingsong He, Zhengyu Yang, Xin Yao
    Hybridisation of Particle Swarm Optimization and Fast Evolutionary Programming. [Citation Graph (0, 0)][DBLP]
    SEAL, 2006, pp:392-399 [Conf]
  53. Jianyong Sun, Qingfu Zhang, Jin Li, Xin Yao
    A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design. [Citation Graph (0, 0)][DBLP]
    SEAL, 2006, pp:905-912 [Conf]
  54. Xin Yao, Yong Liu
    EPNet for Chaotic Time-Series Prediction. [Citation Graph (0, 0)][DBLP]
    SEAL, 1996, pp:146-156 [Conf]
  55. Siang Yew Chong, Xin Yao
    Self-Adapting Payoff Matrices in Repeated Interactions. [Citation Graph (0, 0)][DBLP]
    CIG, 2006, pp:103-110 [Conf]
  56. Jun He, Xin Yao
    Drift analysis and average time complexity of evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2001, v:127, n:1, pp:57-85 [Journal]
  57. Jun He, Xin Yao
    Erratum to: Drift analysis and average time complexity of evolutionary algorithms [Artificial Intelligence 127 (2001) 57-85]. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2002, v:140, n:1/2, pp:245-248 [Journal]
  58. Jun He, Xin Yao
    Towards an analytic framework for analysing the computation time of evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2003, v:145, n:1-2, pp:59-97 [Journal]
  59. Ko-Hsin Liang, Xin Yao, Charles S. Newton
    Adapting Self-Adaptive Parameters in Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2001, v:15, n:3, pp:171-180 [Journal]
  60. Xin Yao, Robert I. McKay
    Simulated Evolution and Learning: An Introduction. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2001, v:15, n:3, pp:151-152 [Journal]
  61. Xin Yao, Don Potter
    Introduction: Evolutionary Learning. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 1998, v:8, n:1, pp:5- [Journal]
  62. E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
    Gene selection algorithms for microarray data based on least squares support vector machine. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:95- [Journal]
  63. Xin Yao
    Following the Path of Evolvable Hardware - Introduction. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 1999, v:42, n:4, pp:46-49 [Journal]
  64. Ko-Hsin Liang, Xin Yao, Charles S. Newton, David Hoffman
    A new evolutionary approach to cutting stock problems with and without contiguity. [Citation Graph (0, 0)][DBLP]
    Computers & OR, 2002, v:29, n:12, pp:1641-1659 [Journal]
  65. Sancho Salcedo-Sanz, Yong Xu, Xin Yao
    Hybrid meta-heuristics algorithms for task assignment in heterogeneous computing systems. [Citation Graph (0, 0)][DBLP]
    Computers & OR, 2006, v:33, n:, pp:820-835 [Journal]
  66. Sancho Salcedo-Sanz, Yong Xu, Xin Yao
    Meta-Heuristic Algorithms for FPGA Segmented Channel Routing Problems with Non-standard Cost Functions. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2005, v:6, n:4, pp:359-379 [Journal]
  67. Paul J. Darwen, Xin Yao
    Co-Evolution in Iterated Prisoner's Dilemma with Intermediate Levels of Cooperation: Application to Missile Defense. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2002, v:2, n:1, pp:83-107 [Journal]
  68. Yong Xu, Sancho Salcedo-Sanz, Xin Yao
    Editorial. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2005, v:5, n:2, pp:- [Journal]
  69. Yong Xu, Sancho Salcedo-Sanz, Xin Yao
    Metaheuristic Approaches to Traffic Grooming in Wdm Optical Networks. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2005, v:5, n:2, pp:231-250 [Journal]
  70. Xin Yao, Yong Liu
    Evolving Neural Network Ensembles by Minimization of Mutual Information. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2004, v:1, n:1, pp:12-21 [Journal]
  71. Xin Yao
    Evolutionary Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1993, v:4, n:3, pp:203-222 [Journal]
  72. Arjun Chandra, Xin Yao
    Evolving hybrid ensembles of learning machines for better generalisation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:686-700 [Journal]
  73. Gavin Brown, Jeremy L. Wyatt, Rachel Harris, Xin Yao
    Diversity creation methods: a survey and categorisation. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2005, v:6, n:1, pp:5-20 [Journal]
  74. Xin Yao
    An Introduction to the Special Issue on Evolutionary Computation. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1994, v:18, n:4, pp:- [Journal]
  75. Xin Yao, Paul J. Darwen
    An Experimental Study of N-Person Iterated Prisoner's Dilemma Games. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1994, v:18, n:4, pp:- [Journal]
  76. Xin Yao
    Finding Approximate Solutions to NP-Hard Problems by Neural Networks is Hard. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1992, v:41, n:2, pp:93-98 [Journal]
  77. Xin Yao
    A Note on Neural Sorting Networks with O(1) Time Complexity. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1995, v:56, n:5, pp:253-254 [Journal]
  78. Hongxing He, Simon Hawkins, Warwick Graco, Xin Yao
    Application of Genetic Algorithm and K-Nearest Neighbour Method in Real World Medical Fraud Detection Problem. [Citation Graph (0, 0)][DBLP]
    JACIII, 2000, v:4, n:2, pp:130-137 [Journal]
  79. Xin Yao
    Simulated Evolution and Learning. [Citation Graph (0, 0)][DBLP]
    JACIII, 2000, v:4, n:2, pp:129- [Journal]
  80. Xinghuo Yu, Weixing Zheng, Baolin Wu, Xin Yao
    A Novel Penalty Function Approach to Constrained Optimization Problems with Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    JACIII, 1998, v:2, n:6, pp:208-213 [Journal]
  81. Jun He, Xin Yao
    Time Complexity Analysis of an Evolutionary Algorithm for Finding Nearly Maximum Cardinality Matching. [Citation Graph (0, 0)][DBLP]
    J. Comput. Sci. Technol., 2004, v:19, n:4, pp:450-458 [Journal]
  82. Xin Yao, Yong Xu
    Recent Advances in Evolutionary Computation. [Citation Graph (0, 0)][DBLP]
    J. Comput. Sci. Technol., 2006, v:21, n:1, pp:1-18 [Journal]
  83. Yeon-Gyu Seo, Sung-Bae Cho, Xin Yao
    The Impact of Payoff Function and Local Interaction on the N -Player Iterated Prisoner's Dilemma. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2000, v:2, n:4, pp:461-478 [Journal]
  84. E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
    An analysis of diversity measures. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:65, n:1, pp:247-271 [Journal]
  85. Jun He, Xin Yao
    A study of drift analysis for estimating computation time of evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    Natural Computing, 2004, v:3, n:1, pp:21-35 [Journal]
  86. Yong Liu, Xin Yao
    Ensemble learning via negative correlation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:10, pp:1399-1404 [Journal]
  87. Xin Yao
    Maximum Matching on Boltzmann Machines. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1998, v:7, n:1, pp:49-53 [Journal]
  88. Eam Khwang Tang, Ponnuthurai N. Suganthan, Xin Yao, A. Kai Qin
    Linear dimensionality reduction using relevance weighted LDA. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:4, pp:485-493 [Journal]
  89. Thorsten Schnier, Xin Yao, Pin Liu
    Digital filter design using multiple pareto fronts. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2004, v:8, n:5, pp:332-343 [Journal]
  90. Shengxiang Yang, Xin Yao
    Experimental study on population-based incremental learning algorithms for dynamic optimization problems. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:11, pp:815-834 [Journal]
  91. Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani, Xin Yao, Nobuki Kajihara, Masaya Iwata, Tetsuya Higuchi
    The GRD Chip: Genetic Reconfiguration of DSPs for Neural Network Processing. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 1999, v:48, n:6, pp:628-639 [Journal]
  92. Wai-Ho Au, Keith C. C. Chan, Xin Yao
    A novel evolutionary data mining algorithm with applications to churn prediction. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2003, v:7, n:6, pp:532-545 [Journal]
  93. Siang Yew Chong, Xin Yao
    Behavioral diversity, choices and noise in the iterated prisoner's dilemma. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2005, v:9, n:6, pp:540-551 [Journal]
  94. Paul J. Darwen, Xin Yao
    Speciation as automatic categorical modularization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 1997, v:1, n:2, pp:101-108 [Journal]
  95. Jun He, Jiyou Xu, Xin Yao
    Solving equations by hybrid evolutionary computation techniques. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2000, v:4, n:3, pp:295-304 [Journal]
  96. Jun He, Xin Yao
    From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2002, v:6, n:5, pp:495-511 [Journal]
  97. Patrick C. H. Ma, Keith C. C. Chan, Xin Yao, David K. Y. Chiu
    An evolutionary clustering algorithm for gene expression microarray data analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2006, v:10, n:3, pp:296-314 [Journal]
  98. Chang-Yong Lee, Xin Yao
    Evolutionary programming using mutations based on the Levy probability distribution. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2004, v:8, n:1, pp:1-13 [Journal]
  99. Thomas Philip Runarsson, Xin Yao
    Stochastic ranking for constrained evolutionary optimization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2000, v:4, n:3, pp:284-294 [Journal]
  100. Yong Liu, Xin Yao, Tetsuya Higuchi
    Evolutionary ensembles with negative correlation learning. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2000, v:4, n:4, pp:380-387 [Journal]
  101. Xin Yao, Yong Liu, Guangming Lin
    Evolutionary programming made faster. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 1999, v:3, n:2, pp:82-102 [Journal]
  102. Jun He, Xin Yao, Jin Li
    A comparative study of three evolutionary algorithms incorporating different amounts of domain knowledge for node covering problem. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2005, v:35, n:2, pp:266-271 [Journal]
  103. Yong Liu, Xin Yao
    Simultaneous training of negatively correlated neural networks in an ensemble. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1999, v:29, n:6, pp:716-725 [Journal]
  104. Qiang Lu, Xin Yao
    Clustering and learning Gaussian distribution for continuous optimization. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2005, v:35, n:2, pp:195-204 [Journal]
  105. Thomas Philip Runarsson, Xin Yao
    Search biases in constrained evolutionary optimization. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2005, v:35, n:2, pp:233-243 [Journal]
  106. Sancho Salcedo-Sanz, Xin Yao
    A hybrid Hopfield network-genetic algorithm approach for the terminal assignment problem. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:6, pp:2343-2353 [Journal]
  107. Jeffrey Xu Yu, Xin Yao, Chi-Hon Choi, Gang Gou
    Materialized view selection as constrained evolutionary optimization. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2003, v:33, n:4, pp:458-467 [Journal]
  108. Xin Yao, Tetsuya Higuchi
    Promises and challenges of evolvable hardware. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 1999, v:29, n:1, pp:87-97 [Journal]
  109. Xin Yao, Yong Liu
    Making use of population information in evolutionary artificial neural networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1998, v:28, n:3, pp:417-425 [Journal]
  110. Chuan Zhang, Xin Yao, Jian Yang
    An evolutionary approach to materialized views selection in a data warehouse environment. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2001, v:31, n:3, pp:282-294 [Journal]
  111. Kata Praditwong, Xin Yao
    A New Multi-objective Evolutionary Optimisation Algorithm: The Two-Archive Algorithm. [Citation Graph (0, 0)][DBLP]
    CIS, 2006, pp:95-104 [Conf]
  112. Huanhuan Chen, Xin Yao
    Evolutionary Ensemble for In Silico Prediction of Ames Test Mutagenicity. [Citation Graph (0, 0)][DBLP]
    ICIC (2), 2007, pp:1162-1171 [Conf]
  113. Jin Li, Xiaoli Li, Xin Yao
    Cost-sensitive classification with genetic programming. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2114-2121 [Conf]
  114. Hisashi Handa, Lee Chapman, Xin Yao
    Dynamic salting route optimisation using evolutionary computation. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:158-165 [Conf]
  115. Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing
    Co-evolutionary modular neural networks for automatic problem decomposition. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2691-2698 [Conf]

  116. The Dynamic Knapsack Problem Revisited: A New Benchmark Problem for Dynamic Combinatorial Optimisation. [Citation Graph (, )][DBLP]


  117. Dynamic Time-Linkage Problems Revisited. [Citation Graph (, )][DBLP]


  118. Co-evolution of Optimal Agents for the Alternating Offers Bargaining Game. [Citation Graph (, )][DBLP]


  119. Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change. [Citation Graph (, )][DBLP]


  120. Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning. [Citation Graph (, )][DBLP]


  121. Theoretical Study of the Relationship between Diversity and Single-Class Measures for Class Imbalance Learning. [Citation Graph (, )][DBLP]


  122. Evolution of Neural Organization in a Hydra-Like Animat. [Citation Graph (, )][DBLP]


  123. Using a Genetic Algorithm for Editing k-Nearest Neighbor Classifiers. [Citation Graph (, )][DBLP]


  124. The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines. [Citation Graph (, )][DBLP]


  125. Greedy forward selection algorithms to Sparse Gaussian Process Regression. [Citation Graph (, )][DBLP]


  126. On-line bagging Negative Correlation Learning. [Citation Graph (, )][DBLP]


  127. Selective negative correlation learning algorithm for incremental learning. [Citation Graph (, )][DBLP]


  128. Coevolving programs and unit tests from their specification. [Citation Graph (, )][DBLP]


  129. Evolutionary Market Agents for Resource Allocation in Decentralised Systems. [Citation Graph (, )][DBLP]


  130. The Role of Degenerate Robustness in the Evolvability of Multi-agent Systems in Dynamic Environments. [Citation Graph (, )][DBLP]


  131. Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat. [Citation Graph (, )][DBLP]


  132. Solving Very Difficult Japanese Puzzles with a Hybrid Evolutionary-Logic Algorithm. [Citation Graph (, )][DBLP]


  133. Multi-objective Improvement of Software Using Co-evolution and Smart Seeding. [Citation Graph (, )][DBLP]


  134. Attributes of Dynamic Combinatorial Optimisation. [Citation Graph (, )][DBLP]


  135. Crossover Can Be Constructive When Computing Unique Input Output Sequences. [Citation Graph (, )][DBLP]


  136. Self-optimizing architecture for ensuring Quality Attributes in the cloud. [Citation Graph (, )][DBLP]


  137. Diversity analysis on imbalanced data sets by using ensemble models. [Citation Graph (, )][DBLP]


  138. Runtime analysis of (1+l) EA on computing unique input output sequences. [Citation Graph (, )][DBLP]


  139. A Memetic Algorithm for test data generation of Object-Oriented software. [Citation Graph (, )][DBLP]


  140. Target shape design optimization by evolving splines. [Citation Graph (, )][DBLP]


  141. Evolutionary algorithms and the Vertex Cover problem. [Citation Graph (, )][DBLP]


  142. Estimation of distribution algorithms for testing object oriented software. [Citation Graph (, )][DBLP]


  143. Hybridisation of evolutionary programming and machine learning with k-nearest neighbor estimation. [Citation Graph (, )][DBLP]


  144. Differential evolution for high-dimensional function optimization. [Citation Graph (, )][DBLP]


  145. On the analysis of average time complexity of estimation of distribution algorithms. [Citation Graph (, )][DBLP]


  146. How well do multi-objective evolutionary algorithms scale to large problems. [Citation Graph (, )][DBLP]


  147. Evolutionary random neural ensembles based on negative correlation learning. [Citation Graph (, )][DBLP]


  148. Covariance matrix repairing in Gaussian based EDAs. [Citation Graph (, )][DBLP]


  149. Direction matters in high-dimensional optimisation. [Citation Graph (, )][DBLP]


  150. A novel co-evolutionary approach to automatic software bug fixing. [Citation Graph (, )][DBLP]


  151. Multilevel cooperative coevolution for large scale optimization. [Citation Graph (, )][DBLP]


  152. Analysis of population-based evolutionary algorithms for the vertex cover problem. [Citation Graph (, )][DBLP]


  153. Toward a gene regulatory network model for evolving chemotaxis behavior. [Citation Graph (, )][DBLP]


  154. An immigrants scheme based on environmental information for genetic algorithms in changing environments. [Citation Graph (, )][DBLP]


  155. NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization. [Citation Graph (, )][DBLP]


  156. A multi-objective approach to testing resource allocation in modular software systems. [Citation Graph (, )][DBLP]


  157. An effective evolutionary algorithm for discrete-valued data clustering. [Citation Graph (, )][DBLP]


  158. Self-adaptive differential evolution with neighborhood search. [Citation Graph (, )][DBLP]


  159. Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems. [Citation Graph (, )][DBLP]


  160. A cooperative coevolutionary algorithm with Correlation based Adaptive Variable Partitioning. [Citation Graph (, )][DBLP]


  161. Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins. [Citation Graph (, )][DBLP]


  162. Evolutionary market agents and heterogeneous service providers: Achieving desired resource allocations. [Citation Graph (, )][DBLP]


  163. Benchmarking and solving dynamic constrained problems. [Citation Graph (, )][DBLP]


  164. An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization. [Citation Graph (, )][DBLP]


  165. Multi-start JADE with knowledge transfer for numerical optimization. [Citation Graph (, )][DBLP]


  166. An evaluation of Differential Evolution in software test data generation. [Citation Graph (, )][DBLP]


  167. Tackling high dimensional nonseparable optimization problems by cooperatively coevolving particle swarms. [Citation Graph (, )][DBLP]


  168. Improved memetic algorithm for Capacitated Arc Routing Problem. [Citation Graph (, )][DBLP]


  169. When is an estimation of distribution algorithm better than an evolutionary algorithm? [Citation Graph (, )][DBLP]


  170. A multi-objective approach to Redundancy Allocation Problem in parallel-series systems. [Citation Graph (, )][DBLP]


  171. Comparing design of experiments and evolutionary approaches to multi-objective optimisation of sensornet protocols. [Citation Graph (, )][DBLP]


  172. A Self-adaptive Evolutionary Programming Based on Optimum Search Direction. [Citation Graph (, )][DBLP]


  173. Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification. [Citation Graph (, )][DBLP]


  174. Design and Implementation of Integrated Services Switch Simulation Model Based on ATM-MPLS. [Citation Graph (, )][DBLP]


  175. Resource allocation in decentralised computational systems: an evolutionary market-based approach. [Citation Graph (, )][DBLP]


  176. Market-based control of computational systems: introduction to the special issue. [Citation Graph (, )][DBLP]


  177. Assignment of cells to switches in a cellular mobile network using a hybrid Hopfield network-genetic algorithm approach. [Citation Graph (, )][DBLP]


  178. Optimal switch location in mobile communication networks using hybrid genetic algorithms. [Citation Graph (, )][DBLP]


  179. Special Issue on Evolutionary Learning and Optimisation. [Citation Graph (, )][DBLP]


  180. A novel and practicable on-chip adaptive lossless image compression scheme using intrinsic evolvable hardware. [Citation Graph (, )][DBLP]


  181. Uncovering delayed patterns in noisy and irregularly sampled time series: an astronomy application [Citation Graph (, )][DBLP]


  182. A Note on Problem Difficulty Measures in Black-Box Optimization: Classification, Realizations and Predictability. [Citation Graph (, )][DBLP]


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