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Tian-Li Yu: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Tian-Li Yu, David E. Goldberg
    Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:367-378 [Conf]
  2. Tian-Li Yu, David E. Goldberg
    Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO (2), 2004, pp:355-366 [Conf]
  3. Tian-Li Yu, David E. Goldberg
    Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1385-1392 [Conf]
  4. Tian-Li Yu, David E. Goldberg, Ali Yassine, Ying-Ping Chen
    Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1620-1621 [Conf]
  5. Tian-Li Yu, David E. Goldberg, Kumara Sastry
    Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:1554-1565 [Conf]
  6. Tian-Li Yu, Kumara Sastry, David E. Goldberg
    Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:1217-1224 [Conf]
  7. Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg
    Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1798-1805 [Conf]
  8. Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan
    Population sizing for entropy-based model building in discrete estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:601-608 [Conf]
  9. Tian-Li Yu, Kumara Sastry, David E. Goldberg
    Online population size adjusting using noise and substructural measurements. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2491-2498 [Conf]

  10. Optimal sampling of genetic algorithms on polynomial regression. [Citation Graph (, )][DBLP]

  11. Co-evolvability of games in coevolutionary genetic algorithms. [Citation Graph (, )][DBLP]

  12. Difficulty of linkage learning in estimation of distribution algorithms. [Citation Graph (, )][DBLP]

  13. Psychological preference-based optimization framework on the nurse scheduling problem. [Citation Graph (, )][DBLP]

  14. Co-evolution of cooperative strategies under egoism. [Citation Graph (, )][DBLP]

  15. Real-coded ECGA for solving decomposable real-valued optimization problems. [Citation Graph (, )][DBLP]

  16. Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. [Citation Graph (, )][DBLP]

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