于天立副教授的著作列表 - Publication List of Tian-Li Yu

Publication List of 于天立 Tian-Li Yu

Journal articles & book chapters:

  1. Fan, K.-C., Yu T.-L. Yu, & Lee, J.-T., “Linkage learning by number of function evaluations estimation: Practical view of building blocks,” Information Science, 230, 162-182, 2013
  2. Yu, T.-L., Goldberg, D. E., Sastry, K., Lima, C., & Pelikan, M, “Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination,” Evolutionary Computation, Vol. 17, No. 4, 595-626, Dec. 2009
  3. Li, M., Goldberg, D. E., Sastry, K. & Yu, T.-L., “Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems,” Linkage in Evolutionary Computation, 61-86, May 2008
  4. Yu, T.-L., Yassine, A. A., & Goldberg, D. E., “An Information Theoretic Method for Developing Modular Architectures Using Genetic Algorithms,” Research in Engineering Design, 18, 91-109, Aug. 2007
  5. Yu, T.-L., Sastry, K., & Goldberg, D. E., “Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements,” in Parameter Setting in Evolutionary Algorithms, Editors: Lobo, F. G., Lima, C. F., & Michalwicz, Z., 205-224, 2007
  6. Santarelli, S., Yu, T.-L., Goldberg, D. E., Altshuler, E., O’Donnell, T., Southall, H., & Mailloux, R., “Military Antenna Design Using Simple and Competent Genetic Algorithms,” Mathematical and Computer Modelling, 43, 990-1022, 2006
  7. Yu, T.-L., Yassine, A., & Goldberg, D. E., “Double Duty: Genetic Algorithms for Organizational Design and Genetic Algorithms Inspired by Organizational Theory,” in Handbook of Nature Inspired Computing for Economy and Management, Chapter 28. Editors: Rennard, J.-P., 2006
  8. Yu, T.-L., Santarelli, S., & Goldberg, D. E., “Military Antenna Design Using a Simple Genetic Algorithm and hBOA,” in Scalable Optimization via Probabilistic Modeling from Algorithms to Applications, Chapter 12. Editors: Pelikan, M., Sastry, K, 2006

Conference & proceeding papers:

  1. Chen, C.-S., Hsu, H.-W., & Yu, T.-L., “Fast algorithm for fair comparison of genetic algorithms,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2018), 913-920, Kyoto, Japan, Jul. 2018
  2. Lin, Y.-J., & Yu, T.-L., “Investigation of the exponential population scheme for genetic algorithms,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2018), 975-982, Kyoto, Japan, Jul. 2018
  3. Yu, J.-Y., Chen, I., & Yu, T.-L., “A diversity preservation scheme for DSMGA-II to conquer the hierarchical difficulty,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017), 841-848, Berlin, German, Jul. 2017
  4. Chen, P.-L., Peng, C.-J., & Yu, T.-L., “Two-edge graphical linkage model for DSMGA-II,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017), 745-752, Berlin, German, Jul. 2017
  5. Li, S.-C., & Yu, T.-L., “Speeding up DSMGA-II on CUDA platform,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2017), 809-816, Berlin, German, Jul. 2017
  6. Chang, C.-H. & Yu, T.-L., “Investigation on Parameterless Schemes for DSMGA-II,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016 Companion), 85-86, Denver, Colorado, USA, Jul. 2016
  7. Hsu, S.-H., & Yu, T.-L., “Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), 519-526, Madrid, Spain, Jul. 2015
  8. Tung, Y.-F., & Yu, T.-L., “Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), 535-542, Madrid, Spain, Jul. 2015
  9. Su, Y.-E. & Yu, T.-L., “Use model building on discretization algorithms for discrete EDAs To work on real-valued problems,” IEEE Congress on Evolutionary Computation (CEC 2014), 2491-2498-2498, Beijing, China, Jul. 2014
  10. Wang, S.-M., Tung, Y.-F., & Yu, T.-L., “Investigation on efficiency of optimal mixing on various linkage sets,” IEEE Congress on Evolutionary Computation (CEC 2014), 2475-2482-2482, Beijing, China, Jul. 2014
  11. Tung, H.-Y., Ma, W.-C., & Yu, T.-L., “Novel traffic signal timing adjustment strategy based on Genetic Algorithm,” IEEE Congress on Evolutionary Computation (CEC 2014), 2353-2360-2360, Beijing, China, Jul. 2014
  12. Chou, C.-Y., & Yu, T.-L., “Using representative strategies for finding Nash equilibria,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2013), to appear, Amsterdam, Dutch, Jul. 2013
  13. Hsu, P.-C., & Yu, T.-L., “A niching scheme for EDAs to reduce spurious dependencies,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2013), 375-382, Amsterdam, Dutch, Jul. 2013
  14. Wang, S.-M., Wu, J.-W., Chen, W.-M., & Yu, T.-L., “Design of test problems for discrete estimation of distribution algorithms,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2013), 407-414, Amsterdam, Dutch, Jul. 2013
  15. Shao, C.-Y., & Yu, T.-L., “Speeding up model building for ECGA on CUDA platform,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2013), 1197-1204, Amsterdam, Dutch, Jul. 2013
  16. Chen, W.-M., Hsu, C.-Y., Yu, T.-L., & Chien, W.-C., “Effects of discrete hill climbing on model building for estimation of distribution algorithms,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2013), 367-374, Amsterdam, Dutch, Jul. 2013
  17. Chen, W.-M., Shao, C.-Y., Hsu, P.-C., Yu, T.-L., “A test problem with adjustable degrees of overlap and conflict among subproblems,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2012), 257-264, Philadelphia, USA, Jul. 2012
  18. Lee, H., Yu, T.-L., “Off-line building block identification: detecting building blocks directly from fitness without genetic algorithms,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2012), 641-648, Philadelphia, USA, Jul. 2012
  19. Ho, T.-Y., Yu, T.-L., “A linkage-learning niching in estimation of distribution algorithm,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2012), 649-650, Philadelphia, USA, Jul. 2012
  20. Hsueh, C.-H., Yu, T.-L., “Affective content based music video paring system using real coded GA,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2012), 1427-1428, Philadelphia, USA, Jul. 2012
  21. Lee, J.-T., Fan, K.-C., & Yu, T.-L., “The essence of real-valued characteristic function for pairwise relation in linkage learning for EDAs,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2011), 569-576, Dublin, Ireland, Jul. 2011
  22. Chang, J.-H., Hsueh, C.-H., Lee, H., Yu, T.-L., Ho, T.-Y., “A test function with full controllability over overlapping: estimation of distribution algorithms,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2011), 61-62, Dublin, Ireland, Jul. 2011
  23. Fan, K.-C., Yu, T.-L., Lee, J.-T., “Interaction detection by NFE estimation: a practical view of building blocks,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2011), 71-72, Dublin, Ireland, Jul. 2011
  24. Fan, K.-C., Lee, J.-T., Yu, T.-L., & Ho, T.-Y., “Interaction-detection metric with differential mutual complement for dependency structure matrix genetic algorithm,” IEEE Congress on Evolutionary Computation, 1-8, Barcelona, Spain, Jul. 2010
  25. Lien, T.-C., Yu, T.-L. & You, Y.-S., “Co-evolution of cooperative strategies under egoism,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010), 697-704, Portland, Oregon, Jul. 2010
  26. You, Y.-S., Yu, T.-L., & Lien, T.-C., “Psychological preference-based optimization framework on the nurse scheduling problem,” Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010), 1319-1320, Porland, Oregon, Jul. 2010
  27. Lin, W.-K. & Yu, T.-L., “Co-evolvability of games in coevolutionary genetic algorithms,” Proceedings of the Genetic and Evolutionary Computation Conference 2009 (GECCO 2009), 1869-1870, Montreal, Canada, Jul. 2009
  28. Chen, S.-C. & Yu, T.-L., “Difficulty of linkage learning in estimation of distribution algorithms,” Proceedings of the Genetic and Evolutionary Computation Conference 2009 (GECCO 2009), 397-404, Montreal, Canada, Jul. 2009
  29. Yu, T.-L. & Lin, W.-K., “Optimal sampling of genetic algorithms on polynomial regression,” Proceedings of the Genetic and Evolutionary Computation Conference 2008 (GECCO 2008), 1089-1096, Altlanta, USA, Jul. 2008
  30. Li, M., Goldberg, D. E., Sastry, K., & Yu, T.-L., “Real-coded ECGA for solving decomposable real-valued optimization problems,” IEEE Congress on Evolutionary Computation, 1435-1438, Singapore, Sept. 2007
  31. Li, M., Goldberg, D. E., Sastry, K., & Yu, T.-L., “Performance analyses of factorization based on gaussian PDF in rECGA,” Third International Conference on Natural Computation (ICNC 2007), IV, 362-369, Haikou, China, Aug. 2007
  32. Llorà, X., Sastry, K., Yu, T.-L., & Goldberg, D. E., “Do not match, inherit: Fitness surrogates for genetics-based machine learning techniques,” Proceedings of the Genetic and Evolutionary Computation Conference 2007, 1798–1805, Seattle, Jul. 2007
  33. Yu, T.-L., Sastry, K., Goldberg, D. E., & Pelikan, M., “Population sizing for entropy-based model building in discrete estimation of distribution algorithms,” Proceedings of the Genetic and Evolutionary Computation Conference 2007, 601-608, Seattle, Jul. 2007
  34. Yu, T.-L., & Goldberg, D. E., “Conquering Hierarchical Difficulty by Explicit Chunking: Chromosome Compression,” Proceedings of the Genetic and Evolutionary Computation Conference 2006, 1385-1392, Seattle, Washington, USA, Jul. 2006
  35. Yu, T.-L., Sastry, K., & Goldberg, D. E., “Online Population Size Adjusting Using Noise and Substructural Measurements,” 2005 IEEE Congress on Evolutionary Computation (CEC 2005), 3, 2491–2498, Edinburgh, UK, Sept. 2005
  36. Yassine, A., Goldberg, D. E., & Yu, T.-L., “Simple Models of Hierarchical Organizations,” Simple Models of Hierarchical Organizations. Academy of Management 2005 (AOM 2005), Honolulu, Hawaii, USA, Aug. 2005
  37. Yu, T.-L., Sastry, K., & Goldberg, D. E., “Linkage Learning, Overlapping Building Blocks, and Systematic Strategy for Scalable Recombination.,” Proceedings of the Genetic and Evolutionary Computation Conference 2005 (GECCO 2005), 1217-1224, Washington, D. C., USA, Jun. 2005
  38. Goldberg, D. E, Yassine, A., & Yu, T.-L., “Calculating efficient team size: Balancing deciding and doing as an elementary optimization problem,” Proceedings of the ASME 2004 International Design Engineering Technical Conferences, 16th International Conference on Design The, DTM-57402, Salt Lake City, Utah, USA, Sept. 2004
  39. Santarelli, S., Goldberg, D. E., & Yu, T.-L., “Optimization of a constrained feed network for an antenna array using simple and competent genetic algorithm techniques,” Genetic and Evolutionary Computation Conference 2004 (GECCO 2004), Military and Security Application of Evolutionary Computation, Seattle, Washington, USA, Jun. 2004
  40. Yu, T.-L., & Goldberg, D. E., “Dependency structure matrix analysis: Off-line utility of the dependency structure matrix genetic algorithm,” Proceedings of the Genetic and Evolutionary Computation Conference 2004 (GECCO 2004), 355-366, Seattle, Washington, USA, Jun. 2004
  41. Yu, T.-L., & Goldberg, D. E., “Toward an understanding of the quality and efficiency of model building for genetic algorithms,” Proceedings of the Genetic and Evolutionary Computation Conference 2004 (GECCO 2004), 367-378, Seattle, Washington, USA, Jun. 2004
  42. Yu, T.-L., Chen, Y.-p., Goldberg, D. E., & Chen, J.-H., “An adaptive sampling scheme for genetic algorithms on the sampled OneMax problem,” Proceedings of Artificial Neural Networks in Engineering 2003 (ANNIE 2003), 39-44, St. Louis, Missouri, USA, Nov. 2003
  43. Yu, T.-L., Goldberg, D. E., Yassine, A. & Chen, Y.-p., “Genetic algorithm design inspired by organizational theory: Pilot study of a dependency structure matrix driven genetic algorithm,” Proceedings of Artificial Neural Networks in Engineering 2003 (ANNIE 2003), 327–332, St. Louis, Missouri, USA, Nov. 2003
  44. Yu, T.-L., Yassine, A. & Goldberg, D. E., “A genetic algorithm for developing modular product architectures,” Proceedings of the ASME 2003 International Design Engineering Technical Conferences, 15th International Conference on Design The, DTM-48657, Chicago, Illinois, USA, Sept. 2003
  45. Yu, T.-L., Goldberg, D. E., & Sastry, K., “Optimal sampling and speed-up for genetic algorithms on the sampled OneMax problem,” Proceedings of the Genetic and Evolutionary Computation Conference 2003 (GECCO 2003), 1554-1565, Chicago, Illinois, USA, Jul. 2003

Patents:

  1. Yu, T.-L., Goldberg, D. E., & Yassine, A., “Methods and Programs for Optimizing Problem Clustering,” US Patent No. 7,280,986., Oct. 2007