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Qingfu Zhang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang
    Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:832-846 [Conf]
  2. Hui Li, Qingfu Zhang, Edward P. K. Tsang, John A. Ford
    Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem. [Citation Graph (0, 0)][DBLP]
    EvoCOP, 2004, pp:145-154 [Conf]
  3. Shaoyan Wu, Qingfu Zhang, Huowang Chen
    A New Evolutionary Model Based on Family Eugenics: the First Results. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:350-355 [Conf]
  4. Qingfu Zhang, Hujun Yin, Nigel M. Allinson
    A Simplified ICA Based Denoising Method. [Citation Graph (0, 0)][DBLP]
    IJCNN (5), 2000, pp:479-482 [Conf]
  5. J. Horacio Camacho, Abdellah Salhi, Qingfu Zhang
    A Graph Theoretic Approach to Key Equivalence. [Citation Graph (0, 0)][DBLP]
    MICAI, 2005, pp:524-533 [Conf]
  6. Hui Li, Qingfu Zhang
    A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:583-592 [Conf]
  7. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang
    Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. [Citation Graph (0, 0)][DBLP]
    PPSN, 2006, pp:443-452 [Conf]
  8. 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]
  9. Qingfu Zhang
    On the discrete-time dynamics of a PCA learning algorithm. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:55, n:3-4, pp:761-769 [Journal]
  10. Qingfu Zhang
    On stability of fixed points of limit models of univariate marginal distribution algorithm and factorized distribution algorithm. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2004, v:8, n:1, pp:80-93 [Journal]
  11. Qingfu Zhang, Yiu-Wing Leung
    An orthogonal genetic algorithm for multimedia multicast routing. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 1999, v:3, n:1, pp:53-62 [Journal]
  12. Qingfu Zhang, Heinz Mühlenbein
    On the convergence of a class of estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2004, v:8, n:2, pp:127-136 [Journal]
  13. Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang
    An evolutionary algorithm with guided mutation for the maximum clique problem. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2005, v:9, n:2, pp:192-200 [Journal]
  14. Abdellah Salhi, José Antonio Vázquez Rodríguez, Qingfu Zhang
    An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:570-576 [Conf]
  15. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang
    Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:617-623 [Conf]
  16. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K. Tsang, Tatsuya Okabe
    A model-based evolutionary algorithm for bi-objective optimization. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2568-2575 [Conf]
  17. Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Cao Liu, Botond Virginas
    On the Performance of Metamodel Assisted MOEA/D. [Citation Graph (0, 0)][DBLP]
    ISICA, 2007, pp:547-557 [Conf]
  18. Andreas Konstantinidis, Qingfu Zhang, Kun Yang, Ian Henning
    Energy-aware Topology Control in Sensor Networks Using Modern Heuristics. [Citation Graph (0, 0)][DBLP]
    GLOBECOM, 2006, pp:- [Conf]
  19. Andreas Konstantinidis, Kun Yang, Hsiao-Hwa Chen, Qingfu Zhang
    Energy-aware topology control for wireless sensor networks using memetic algorithms. [Citation Graph (0, 0)][DBLP]
    Computer Communications, 2007, v:30, n:14-15, pp:2753-2764 [Journal]

  20. Problem-Specific Encoding and Genetic Operation for a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks. [Citation Graph (, )][DBLP]


  21. Self-Guided Genetic Algorithm. [Citation Graph (, )][DBLP]


  22. An Evolutionary Approach for Survivable Network under SRLG Constraints. [Citation Graph (, )][DBLP]


  23. A Decomposition-based Multi-objective Particle Swarm Optimization Algorithm for Continuous Optimization Problems. [Citation Graph (, )][DBLP]


  24. Adaptivemodelling strategy for continuous multi-objective optimization. [Citation Graph (, )][DBLP]


  25. Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm. [Citation Graph (, )][DBLP]


  26. Tchebycheff approximation in Gaussian Process model composition for multi-objective expensive black box. [Citation Graph (, )][DBLP]


  27. MOEA/D for flowshop scheduling problems. [Citation Graph (, )][DBLP]


  28. Combination of EDA and DE for continuous biobjective optimization. [Citation Graph (, )][DBLP]


  29. A Subproblem-dependent Heuristic in MOEA/D for the Deployment and Power Assignment Problem in Wireless Sensor Networks. [Citation Graph (, )][DBLP]


  30. Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization. [Citation Graph (, )][DBLP]


  31. A self-guided genetic algorithm for flowshop scheduling problems. [Citation Graph (, )][DBLP]


  32. The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances. [Citation Graph (, )][DBLP]


  33. Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. [Citation Graph (, )][DBLP]


  34. Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization. [Citation Graph (, )][DBLP]


  35. An Evolutionary Algorithm to a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks. [Citation Graph (, )][DBLP]


  36. Multiobjective K-Connected Deployment and Power Assignment in WSNs Using Constraint Handling. [Citation Graph (, )][DBLP]


  37. A multi-objective evolutionary algorithm for the deployment and power assignment problem in wireless sensor networks. [Citation Graph (, )][DBLP]


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