Tian-Li Yu

发表

Application of evolutionary algorithms and neural network concepts to the design of low-cost, wideband antenna arrays

David E. Goldberg, Scott Santarelli, Tian-Li Yu, 2007, SPIE Defense + Commercial Sensing.

Recovering shape and reflectance model of non-lambertian objects from multiple views

N. Ahuja, N. Xu, Tian-Li Yu, 2004, CVPR 2004.

Calculating Efficient Team Size: Balancing Deciding and Doing as an Elementary Optimization Problem

David E. Goldberg, Tian-Li Yu, Ali A. Yassine, 2004 .

A matrix approach for finding extrema: problems with modularity, hierarchy, and overlap

D. Goldberg, Tian-Li Yu, 2006 .

Population Sizing for Entropy-based Model Building in Genetic Algorithms

D. Goldberg, M. Pelikán, K. Sastry, 2006 .

A Survey of Linkage Learning Techniques in Genetic and Evolutionary Algorithms

D. Goldberg, K. Sastry, Tian-Li Yu, 2007 .

FLUCTUATING CROSSTALK , GA SCALABILITY , AND THE DISRUPTION OF OPTIMA BY

K. Sastry, Tian-Li Yu, Cláudio F. Lima, 2007 .

Handling Overlap by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II

Tian-Li Yu, Shih-Huan Hsu, 2015 .

A Test Function with Full Controllability over Overlapping and Confliction between SubProblems

Tian-Li Yu, J. Chang, Chung-Hsiang Hsueh, 2011 .

DOUBLE DUTY: GENETIC ALGORITHMS FOR ORGANIZATIONAL DESIGN AND GENETIC ALGORITHMS INSPIRED BY ORGANIZATIONAL THEORY

D. Goldberg, Tian-Li Yu, A. Yassine, 2005 .

Research on a Learning Model Presuming Representationalism , Functionalism , and Neural Darwinism

Tian-Li Yu, J. Chang, 2013 .

A Binomial Niching Algorithm for Linkage Learning in Estimation of Distribution Algorithm

Tian-Li Yu, Tsung-Yu Ho, 2011 .

Psychological Preference-based Optimization Framework with Interactive Genetic Algorithms on the Nurse Scheduling Problem

Tian-Li Yu, Ying-Shiuan You, Ta-Chun Lien, 2010 .

1 Simple Models of Hierarchical Organizations

Tian-Li Yu, A. Yassine, D. Goldberg, 2005 .

Theoretical Perspective of Complexity of Evolutionary Algorithms Adopting Optimal Mixing

Tian-Li Yu, Yu-Fan Tung, 2015 .

Simultaneous Estimation of Texture Map and Pseudo Illumination from Multiple Views

N. Ahuja, Tian-Li Yu, 2005 .

Military Antenna Design Using a Simple Genetic Algorithm and hBOA

David E. Goldberg, Scott Santarelli, Tian-Li Yu, 2006, Scalable Optimization via Probabilistic Modeling.

Real-coded ECGA for solving decomposable real-valued optimization problems

David E. Goldberg, Kumara Sastry, Minqiang Li, 2007, 2007 IEEE Congress on Evolutionary Computation.

Linkage learning by number of function evaluations estimation: Practical view of building blocks

Tian-Li Yu, Jui-Ting Lee, Kai-Chun Fan, 2013, Inf. Sci..

The essence of real-valued characteristic function for pairwise relation in linkage learning for EDAs

Tian-Li Yu, Jui-Ting Lee, Kai-Chun Fan, 2011, GECCO '11.

Interaction detection by NFE estimation: a practical view of building blocks

Tian-Li Yu, Jui-Ting Lee, Kai-Chun Fan, 2011, GECCO.

Interaction-detection metric with differential mutual complement for dependency structure matrix genetic algorithm

Tian-Li Yu, Tsung-Yu Ho, Jui-Ting Lee, 2010, IEEE Congress on Evolutionary Computation.

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2009, Evolutionary Computation.

Optimal sampling of genetic algorithms on polynomial regression

Tian-Li Yu, Wei-Kai Lin, Tian-Li Yu, 2008, GECCO '08.

Population sizing for entropy-based model building in discrete estimation of distribution algorithms

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2007, GECCO '07.

Co-evolution of cooperative strategies under egoism

Tian-Li Yu, Ta-Chun Lien, Ying-Shiuan You, 2010, GECCO '10.

Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination

David E. Goldberg, Kumara Sastry, Tian-Li Yu, 2005, GECCO '05.

Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem

David E. Goldberg, Kumara Sastry, Tian-Li Yu, 2003, GECCO.

An information theoretic method for developing modular architectures using genetic algorithms

David E. Goldberg, Tian-Li Yu, Ali A. Yassine, 2007 .

Difficulty of linkage learning in estimation of distribution algorithms

Tian-Li Yu, Si-Cheng Chen, Tian-Li Yu, 2009, GECCO.

Co-evolvability of games in coevolutionary genetic algorithms

Tian-Li Yu, Wei-Kai Lin, Tian-Li Yu, 2009, GECCO.

A Genetic Algorithm for Developing Modular Product Architectures

David E. Goldberg, Tian-Li Yu, Ali A. Yassine, 2003 .

A test problem with difficulty in decomposing into sub-problems for model-based genetic algorithms

Kei Ohnishi, Shota Ikeda, Tian-Li Yu, 2020, GECCO Companion.

Online population size adjusting using noise and substructural measurements

David E. Goldberg, Kumara Sastry, Tian-Li Yu, 2005, 2005 IEEE Congress on Evolutionary Computation.

TAGA: a transfer-based black-box adversarial attack with genetic algorithms

Tian-Li Yu, Liang Huang, 2022, GECCO.

Investigation on efficiency of optimal mixing on various linkage sets

Tian-Li Yu, Shih-Ming Wang, Yu-Fan Tung, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm

David E. Goldberg, Tian-Li Yu, Ali Yassine, 2003, GECCO.

Research on the Gene Sequence Data Mining Model Based on Information Theory and Data Dimension Reduction Algorithm

Xinyu Zhang, Chang Xu, Tianhua Yu, 2017 .

Military antenna design using simple and competent genetic algorithms

David E. Goldberg, Scott Santarelli, Tian-Li Yu, 2006, Math. Comput. Model..

Novel traffic signal timing adjustment strategy based on Genetic Algorithm

Hsiao-Yu Tung, Tian-Li Yu, Wei-Chiu Ma, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Using representative strategies for finding nash equilibria

Tian-Li Yu, Chih-Yuan Chou, Tian-Li Yu, 2013, GECCO '13.

Continuous optimization by hierarchical gaussian mixture with clustering embedded resource allocation

Tian-Li Yu, Jhih-Wei Chen, Ming-Chun Lu, 2020, GECCO Companion.

Taylor Polynomial Enhancer using Genetic Programming for Symbolic Regression

Tian-Li Yu, Chi-Hsien Chang, Tu-Chin Chiang, 2023, GECCO Companion.

GP with Ranging-Binding Technique for Symbolic Regression

Tian-Li Yu, Wenchang Fang, Jung-Chun Liu, 2023, GECCO Companion.

Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm

David E. Goldberg, Tian-Li Yu, D. Goldberg, 2004, GECCO.