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Yew-Soon Ong: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong
    Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data. [Citation Graph (0, 0)][DBLP]
    APBC, 2004, pp:123-129 [Conf]
  2. Quoc-Thuan Ho, Wentong Cai, Yew-Soon Ong
    Design and implementation of an efficient multi-cluster GridRPC system. [Citation Graph (0, 0)][DBLP]
    CCGRID, 2005, pp:358-365 [Conf]
  3. Bu-Sung Lee, Ming Tang, Junwei Zhang, Yew-Soon Ong, Cindy Zheng, Peter W. Arzberger, David Abramson
    Analysis of Jobs in a Multi-Organizational Grid Test-bed. [Citation Graph (0, 0)][DBLP]
    CCGRID, 2006, pp:59- [Conf]
  4. Mohamed Salahuddin, Terence Hung, Harold Soh, Endang Sulaiman, Yew-Soon Ong, Bu-Sung Lee, Ren Yunxia
    Grid-based PSE for Engineering of Materials (GPEM). [Citation Graph (0, 0)][DBLP]
    CCGRID, 2007, pp:309-316 [Conf]
  5. Hee-Khiang Ng, Yew-Soon Ong, Terence Hung, Bu-Sung Lee
    Grid Enabled Optimization. [Citation Graph (0, 0)][DBLP]
    EGC, 2005, pp:296-304 [Conf]
  6. Quoc-Thuan Ho, Yew-Soon Ong, Wentong Cai
    "Gridifying" Aerodynamic Design Problem Using GridRPC. [Citation Graph (0, 0)][DBLP]
    GCC (1), 2003, pp:83-90 [Conf]
  7. Dudy Lim, Yew-Soon Ong, Bu-Sung Lee
    Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty. [Citation Graph (0, 0)][DBLP]
    GECCO Workshops, 2005, pp:55-62 [Conf]
  8. Jing Tang, Meng-Hiot Lim, Yew-Soon Ong
    Adaptation for parallel memetic algorithm based on population entropy. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:575-582 [Conf]
  9. Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo Er
    Solving large scale combinatorial optimization using PMA-SLS. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:621-628 [Conf]
  10. Yi-Liang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang
    A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:599-606 [Conf]
  11. Hee-Khiang Ng, Dudy Lim, Yew-Soon Ong, Bu-Sung Lee, Lars Freund, Shuja Parvez, Bernhard Sendhoff
    A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization. [Citation Graph (0, 0)][DBLP]
    ICNC (2), 2005, pp:1112-1121 [Conf]
  12. Stephanus Daniel Handoko, Kwoh Chee Keong, Ong Yew Soon, Guanglan Zhang, Vladimir Brusic
    Extreme Learning Machine for Predicting HLA-Peptide Binding. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:716-721 [Conf]
  13. Quoc-Thuan Ho, Yew-Soon Ong, Wentong Cai, Hee-Khiang Ng, Bu-Sung Lee
    GAD Kit - A Toolkit for "Gridifying" Applications. [Citation Graph (0, 0)][DBLP]
    PDCAT, 2004, pp:868-871 [Conf]
  14. Kok Wai Wong, Chun Che Fung, Yew-Soon Ong, Tamás D. Gedeon
    Reservoir Characterization Using Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2005, pp:354-359 [Conf]
  15. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee
    Efficient Hierarchical Parallel Genetic Algorithms using Grid computing. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2007, v:23, n:4, pp:658-670 [Journal]
  16. Shengxiang Yang, Yew-Soon Ong, Yaochu Jin
    Editorial to special issue on evolutionary computation in dynamic and uncertain environments. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2006, v:7, n:4, pp:293-294 [Journal]
  17. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee
    Inverse multi-objective robust evolutionary design. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2006, v:7, n:4, pp:383-404 [Journal]
  18. Yew-Soon Ong, Andy J. Keane
    Meta-Lamarckian learning in memetic algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2004, v:8, n:2, pp:99-110 [Journal]
  19. Yew-Soon Ong, Prasanth B. Nair, K. Y. Lum
    Max-min surrogate-assisted evolutionary algorithm for robust design. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2006, v:10, n:4, pp:392-404 [Journal]
  20. Yew-Soon Ong, Meng-Hiot Lim, Ning Zhu, Kok Wai Wong
    Classification of adaptive memetic algorithms: a comparative study. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2006, v:36, n:1, pp:141-152 [Journal]
  21. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
    A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1288-1295 [Conf]
  22. Zexuan Zhu, Yew-Soon Ong
    Memetic Algorithms for Feature Selection on Microarray Data. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2007, pp:1327-1335 [Conf]
  23. Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy Lim
    A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary algorithm. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2832-2839 [Conf]
  24. Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash
    Markov blanket-embedded genetic algorithm for gene selection. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:11, pp:3236-3248 [Journal]
  25. Ferrante Neri, Jari Toivanen, Giuseppe Leonardo Cascella, Yew-Soon Ong
    An Adaptive Multimeme Algorithm for Designing HIV Multidrug Therapies. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2007, v:4, n:2, pp:264-278 [Journal]
  26. Zongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair, Andy J. Keane, Kai Yew Lum
    Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2007, v:37, n:1, pp:66-76 [Journal]

  27. Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems. [Citation Graph (, )][DBLP]

  28. Optinformatics for schema analysis of binary genetic algorithms. [Citation Graph (, )][DBLP]

  29. Non-genetic transmission of memes by diffusion. [Citation Graph (, )][DBLP]

  30. A Multi-Objective Memetic Algorithm Based Clustering Method. [Citation Graph (, )][DBLP]

  31. Evolutionary Optimization with Dynamic Fidelity Computational Models. [Citation Graph (, )][DBLP]

  32. A Frequent Pattern Mining Algorithm for Understanding Genetic Algorithms. [Citation Graph (, )][DBLP]

  33. Extreme learning machine for multi-categories classification applications. [Citation Graph (, )][DBLP]

  34. Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search. [Citation Graph (, )][DBLP]

  35. Predictive Distribution Matching SVM for Multi-domain Learning. [Citation Graph (, )][DBLP]

  36. Hierarchical model parallel memetic algorithm in heterogeneous computing environment. [Citation Graph (, )][DBLP]

  37. A study on the design issues of Memetic Algorithm. [Citation Graph (, )][DBLP]

  38. Noise-induced features in robust multi-objective optimization problems. [Citation Graph (, )][DBLP]

  39. A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients. [Citation Graph (, )][DBLP]

  40. Memetic Gradient Search. [Citation Graph (, )][DBLP]

  41. Automatic configuration of metaheuristic algorithms for complex combinatorial optimization problems. [Citation Graph (, )][DBLP]

  42. An investigation on evolutionary gradient search for multi-objective optimization. [Citation Graph (, )][DBLP]

  43. Computational Capabilities of Soft-Computing Frameworks: An Overview. [Citation Graph (, )][DBLP]

  44. A service-oriented approach for aerodynamic shape optimisation across institutional boundaries. [Citation Graph (, )][DBLP]

  45. Study of migration topology in island model parallel hybrid-GA for large scale quadratic assignment problems. [Citation Graph (, )][DBLP]

  46. Adaptive Cellular Memetic Algorithms. [Citation Graph (, )][DBLP]

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