于天立 Tian-Li Yu
國立臺灣大學電機工程學系 副教授
Associate Professor, Department of Electrical Engineering, National Taiwan University
主要研究領域:
基因遺傳演算法、 演化計算、機器學習、人工智慧Major Research Areas:
Genetic Algorithms, Evolutionary Computation, Machine Learning, Artificial Intelligence.研究領域摘要:
我的研究領域含括一般性的演化計算(evolutionary computation)和遺傳演算法(genetic algorithm)，主要研究目的是為了解和設計competent GA. 細部的研究領域包括遺傳演算法中的model building, linkage learning, and facet-wise modeling. 總的來說，人工智慧及機器學習也是我的研究興趣。
Research Summary:
I am interested in the theory and application of evolutionary computation (EC) and genetic algorithms (GAs). In particular, I am interested in understanding and the design competent GAs. My personal research centers at model building, linkage learning, and facet-wise modeling of GAs. More generally, I am also interested in artificial intelligence and machine learning.
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B.S.
National Taiwan University, 1997 -
M.S.
University of Illinois at Urbana-Champaign, 2003 -
Ph.D.
University of Illinois at Urbana-Champaign, 2006
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Address
MD-619,
Department of Electrical Engineering,
National Taiwan University,
Taipei 106, Taiwan -
Phone
+866-2-33669649 -
Email:
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Office Hour
by email appointment -
Personal Homepage
http://cc.ee.ntu.edu.tw/~tianliyu -
Lab. Homepage:
代表性著作 Selected Publication
- 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
- 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
- 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