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Edward P. K. Tsang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Edward P. K. Tsang
    Time Structures for AI. [Citation Graph (3, 0)][DBLP]
    IJCAI, 1987, pp:456-461 [Conf]
  2. Edward P. K. Tsang
    The Consistent Labeling Problem in Temporal Reasoning. [Citation Graph (1, 0)][DBLP]
    AAAI, 1987, pp:251-255 [Conf]
  3. Edward P. K. Tsang
    Elements in Temporal Reasoning in Planning. [Citation Graph (1, 0)][DBLP]
    ECAI, 1988, pp:571-573 [Conf]
  4. Andrew J. Davenport, Edward P. K. Tsang, Chang J. Wang, Kangmin Zhu
    GENET: A Connectionist Architecture for Solving Constraint Satisfaction Problems by Iterative Improvement. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:325-330 [Conf]
  5. Abdulwahed M. Abbas, Edward P. K. Tsang
    Constraint-Based Timetabling-A Case Study. [Citation Graph (0, 0)][DBLP]
    AICCSA, 2001, pp:67-72 [Conf]
  6. James E. Borrett, Edward P. K. Tsang, N. R. Walsh
    Adaptive Constraint Satisfaction: The Quickest First Principle. [Citation Graph (0, 0)][DBLP]
    ECAI, 1996, pp:160-164 [Conf]
  7. Alvin C. M. Kwan, Edward P. K. Tsang, James E. Borrett
    Predicting Phase Transitions of Binary CSPs with Constraint Graph Information. [Citation Graph (0, 0)][DBLP]
    ECAI, 1996, pp:185-189 [Conf]
  8. Edward P. K. Tsang
    Plan Generation in a Temporal Frame. [Citation Graph (0, 0)][DBLP]
    ECAI, 1986, pp:643-657 [Conf]
  9. Edward P. K. Tsang, Terry Warwick
    Applying Genetic Algorithms to Constraint Satisfaction Optimization Problems. [Citation Graph (0, 0)][DBLP]
    ECAI, 1990, pp:649-654 [Conf]
  10. 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]
  11. Nanlin Jin, Edward P. K. Tsang
    Relative Fitness and Absolute Fitness for Co-evolutionary Systems. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2005, pp:331-340 [Conf]
  12. Edward P. K. Tsang, Nanlin Jin
    Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2006, pp:133-144 [Conf]
  13. 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]
  14. Jin Li, Edward P. K. Tsang
    Improving Technical Analysis Predictions: An Application of Genetic Programming. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 1999, pp:108-112 [Conf]
  15. Alvin C. M. Kwan, Edward P. K. Tsang
    Minimal Forward Checking with Backmarking and Conflict-Directed Backjumping. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1996, pp:290-298 [Conf]
  16. T. L. Lau, Edward P. K. Tsang
    Applying a Mutation-based Genetic Algorithm to Processor Configuration Problems. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1996, pp:17-24 [Conf]
  17. Edward P. K. Tsang, Jin Li
    Combining Ordinal Financial Predictions with Genetic Programming. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2000, pp:532-537 [Conf]
  18. Eugene C. Freuder, Rina Dechter, Matthew L. Ginsberg, Bart Selman, Edward P. K. Tsang
    Systematic Versus Stochastic Constraint Satisfaction. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1995, pp:2027-2032 [Conf]
  19. Edward P. K. Tsang
    Wind-Tunnel Testing for strategy and market design. [Citation Graph (0, 0)][DBLP]
    ISDA (1), 2006, pp:- [Conf]
  20. Edward P. K. Tsang
    Elements in Temporal Reasoning in Planning. [Citation Graph (0, 0)][DBLP]
    ISMIS, 1988, pp:91-100 [Conf]
  21. Alma Lilia Garcia-Almanza, Edward P. K. Tsang
    The Repository Method for Chance Discovery in Financial Forecasting. [Citation Graph (0, 0)][DBLP]
    KES (3), 2006, pp:30-37 [Conf]
  22. 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]
  23. Terry Warwick, Edward P. K. Tsang
    Using a genetic algorithm to tackle the processors configuration problem. [Citation Graph (0, 0)][DBLP]
    SAC, 1994, pp:217-221 [Conf]
  24. Nanlin Jin, Edward P. K. Tsang
    Co-evolutionary Strategies for an Alternating-Offer Bargaining Problem. [Citation Graph (0, 0)][DBLP]
    CIG, 2005, pp:- [Conf]
  25. Edward P. K. Tsang
    No more "Partial" and "Full Looking Ahead". [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1998, v:98, n:1-2, pp:351-361 [Journal]
  26. Edward P. K. Tsang
    A Glimpse of Constraint Satisfaction. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1999, v:13, n:3, pp:215-227 [Journal]
  27. James E. Borrett, Edward P. K. Tsang
    A Context for Constraint Satisfaction Problem Formulation Selection. [Citation Graph (0, 0)][DBLP]
    Constraints, 2001, v:6, n:4, pp:299-327 [Journal]
  28. Richard J. Howarth, Edward P. K. Tsang
    Spatio-temporal Conflict Detection and Resolution. [Citation Graph (0, 0)][DBLP]
    Constraints, 1998, v:3, n:4, pp:343-361 [Journal]
  29. T. L. Lau, Edward P. K. Tsang
    Guided Genetic Algorithm and its Application to Radio Link Frequency Assignment Problems. [Citation Graph (0, 0)][DBLP]
    Constraints, 2001, v:6, n:4, pp:373-398 [Journal]
  30. Edward P. K. Tsang, Paul Yung, Jin Li
    EDDIE-Automation, a decision support tool for financial forecasting. [Citation Graph (0, 0)][DBLP]
    Decision Support Systems, 2004, v:37, n:4, pp:559-565 [Journal]
  31. Terry Warwick, Edward P. K. Tsang
    Tackling Car Sequencing Problems Using a Generic Genetic Algorithm Strategy. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 1995, v:3, n:3, pp:267-298 [Journal]
  32. Alvin C. M. Kwan, Edward P. K. Tsang, James E. Borrett
    Predicting Phase Transitions of Binary Constraint Satisfaction Problems with Constraint Graph Information. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 1998, v:2, n:1-4, pp:45-62 [Journal]
  33. T. L. Lau, Edward P. K. Tsang
    Solving the Processor Configuration Problems with a Mutation-Based Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 1997, v:6, n:4, pp:567-585 [Journal]
  34. Abdulwahed M. Abbas, Edward P. K. Tsang
    Software engineering aspects of constraint-based timetabling - a case study. [Citation Graph (0, 0)][DBLP]
    Information & Software Technology, 2004, v:46, n:6, pp:359-372 [Journal]
  35. Patrick Mills, Edward P. K. Tsang
    Guided Local Search for Solving SAT and Weighted MAX-SAT Problems. [Citation Graph (0, 0)][DBLP]
    J. Autom. Reasoning, 2000, v:24, n:1/2, pp:205-223 [Journal]
  36. Edward P. K. Tsang
    Constraint Based Scheduling: Applying Constraint Programming to Scheduling Problems. [Citation Graph (0, 0)][DBLP]
    J. Scheduling, 2003, v:6, n:4, pp:413-414 [Journal]
  37. Edward P. K. Tsang, Jin Li, James M. Butler
    EDDIE Beats the Bookies. [Citation Graph (0, 0)][DBLP]
    Softw., Pract. Exper., 1998, v:28, n:10, pp:1033-1043 [Journal]
  38. 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]
  39. 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]
  40. Botond Virginas, Marian Florin Ursu, Edward P. K. Tsang, Gilbert Owusu, Chris Voudouris
    Intelligent Resource Allocation-Solutions and Pathways in a Workforce Planning Problem. [Citation Graph (0, 0)][DBLP]
    KES-AMSTA, 2007, pp:395-404 [Conf]
  41. 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]
  42. Timothy Gosling, Nanlin Jin, Edward P. K. Tsang
    Population based incremental learning with guided mutation versus genetic algorithms: iterated prisoners dilemma. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:958-965 [Conf]
  43. 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]

  44. DEPICT: A High-Level Formal Language For Modeling Constraint Satisfaction Problems. [Citation Graph (, )][DBLP]


  45. On the partitioning of dynamic scheduling problems -: assigning technicians to areas. [Citation Graph (, )][DBLP]


  46. The degree of dynamism for workforce scheduling problem with stochastic task duration. [Citation Graph (, )][DBLP]


  47. An Agent-Based Model of Interactions in the Payment Card Market. [Citation Graph (, )][DBLP]


  48. Intelligent Agent Based Workforce Empowerment. [Citation Graph (, )][DBLP]


  49. Repository method to suit different investment strategies. [Citation Graph (, )][DBLP]


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


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


  52. Evolutionary Computation in Finance Forecasting. [Citation Graph (, )][DBLP]


  53. A constraint-guided method with evolutionary algorithms for economic problems. [Citation Graph (, )][DBLP]


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