Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. - Tian-Li Yu 001; David E. Goldberg; Kumara Sastry (GECCO, 2003)

Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm. - Tian-Li Yu 001; David E. Goldberg; Ali Yassine; Ying-Ping Chen (GECCO, 2003)

Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm. - Tian-Li Yu 001; David E. Goldberg (GECCO (2), 2004)

Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms. - Tian-Li Yu 001; David E. Goldberg (GECCO (2), 2004)

Online population size adjusting using noise and substructural measurements. - Tian-Li Yu 001; Kumara Sastry; David E. Goldberg (Congress on Evolutionary Computation, 2005)

Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. - Tian-Li Yu 001; Kumara Sastry; David E. Goldberg (GECCO, 2005)

Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. - Tian-Li Yu 001; David E. Goldberg (GECCO, 2006)

Military antenna design using simple and competent genetic algorithms. - Scott Santarelli; Tian-Li Yu 001; David E. Goldberg; Edward E. Altshuler; Teresa O'Donnell; Hugh Southall; Robert Mailloux (Math. Comput. Model., 2006)

A Matrix Approach for Finding Extrema: Problems With Modularity, Hierarchy, and Overlap - Tian-Li Yu 001 (2006)

Military Antenna Design Using a Simple Genetic Algorithm and hBOA. - Tian-Li Yu 001; Scott Santarelli; David E. Goldberg (Scalable Optimization via Probabilistic Modeling, 2006)

Real-coded ECGA for solving decomposable real-valued optimization problems. - Minqiang Li; David E. Goldberg; Kumara Sastry; Tian-Li Yu 001 (IEEE Congress on Evolutionary Computation, 2007)

Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. - Xavier Llorà; Kumara Sastry; Tian-Li Yu 001; David E. Goldberg (GECCO, 2007)

Population sizing for entropy-based model building in discrete estimation of distribution algorithms. - Tian-Li Yu 001; Kumara Sastry; David E. Goldberg; Martin Pelikan (GECCO, 2007)

Performance Analyses of Factorization Based on Gaussian PDF In rECGA. - Minqiang Li; David E. Goldberg; Kumara Sastry; Tian-Li Yu 001 (ICNC (4), 2007)

Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements. - Tian-Li Yu 001; Kumara Sastry; David E. Goldberg (Parameter Setting in Evolutionary Algorithms, 2007)

Optimal sampling of genetic algorithms on polynomial regression. - Tian-Li Yu 001; Wei-Kai Lin (GECCO, 2008)

Using human body gestures as inputs for gaming via depth analysis. - Yong Wang; Tian-Li Yu 001; Larry Shi; Zhu Li (ICME, 2008)

Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems. - Minqiang Li; David E. Goldberg; Kumara Sastry; Tian-Li Yu 001 (Linkage in Evolutionary Computation, 2008)

Difficulty of linkage learning in estimation of distribution algorithms. - Si-Cheng Chen; Tian-Li Yu 001 (GECCO, 2009)

Co-evolvability of games in coevolutionary genetic algorithms. - Wei-Kai Lin; Tian-Li Yu 001 (GECCO, 2009)

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. - Tian-Li Yu 001; David E. Goldberg; Kumara Sastry; Cláudio F. Lima; Martin Pelikan (Evol. Comput., 2009)

Interaction-detection metric with differential mutual complement for dependency structure matrix genetic algorithm. - Kai-Chun Fan; Jui-Ting Lee; Tian-Li Yu 001; Tsung-Yu Ho (IEEE Congress on Evolutionary Computation, 2010)

An efficient fashion-driven learning approach to model user preferences in on-line shopping scenarios. - Orhan Çamoglu; Tian-Li Yu 001; Luca Bertelli; Diem Vu; Muralidharan V; Salih Gokturk (CVPR Workshops, 2010)

Co-evolution of cooperative strategies under egoism. - Ta-Chun Lien; Tian-Li Yu 001; Ying-Shiuan You (GECCO, 2010)

Psychological preference-based optimization framework on the nurse scheduling problem. - Ying-Shiuan You; Tian-Li Yu 001; Ta-Chun Lien (GECCO, 2010)

Kernelized structural SVM learning for supervised object segmentation. - Luca Bertelli; Tian-Li Yu 001; Diem Vu; Burak Gokturk (CVPR, 2011)

A test function with full controllability over overlapping: estimation of distribution algorithms. - Jen-Hao Chang; Chung-Hsiang Hsueh; Hsuan Lee; Tian-Li Yu 001; Tsung-Yu Ho (GECCO (Companion), 2011)

Interaction detection by NFE estimation: a practical view of building blocks. - Kai-Chun Fan; Tian-Li Yu 001; Jui-Ting Lee (GECCO (Companion), 2011)

The essence of real-valued characteristic function for pairwise relation in linkage learning for EDAs. - Jui-Ting Lee; Kai-Chun Fan; Tian-Li Yu 001 (GECCO, 2011)

A test problem with adjustable degrees of overlap and conflict among subproblems. - Wei-Ming Chen; Chung-Yu Shao; Po-Chun Hsu; Tian-Li Yu 001 (GECCO, 2012)

A linkage-learning niching in estimation of distribution algorithm. - Tsung-Yu Ho; Tian-Li Yu 001 (GECCO (Companion), 2012)

Affective content based music video paring system using real coded GA. - Chung-Hsiang Hsueh; Tian-Li Yu 001 (GECCO (Companion), 2012)

Off-line building block identification: detecting building blocks directly from fitness without genetic algorithms. - Hsuan Lee; Tian-Li Yu 001 (GECCO, 2012)

Effects of discrete hill climbing on model building forestimation of distribution algorithms. - Wei-Ming Chen; Chu-Yu Hsu; Tian-Li Yu 001; Wei-Che Chien (GECCO, 2013)

Using representative strategies for finding nash equilibria. - Chih-Yuan Chou; Tian-Li Yu 001 (GECCO, 2013)

A niching scheme for EDAs to reduce spurious dependencies. - Po-Chun Hsu; Tian-Li Yu 001 (GECCO, 2013)

Speeding up model building for ECGA on CUDA platform. - Chung-Yu Shao; Tian-Li Yu 001 (GECCO, 2013)

Design of test problems for discrete estimation of distribution algorithms. - Shih-Ming Wang; Jie-Wei Wu; Wei-Ming Chen; Tian-Li Yu 001 (GECCO, 2013)

Linkage learning by number of function evaluations estimation: Practical view of building blocks. - Kai-Chun Fan; Tian-Li Yu 001; Jui-Ting Lee (Inf. Sci., 2013)

Use model building on discretization algorithms for discrete EDAs To work on real-valued problems. - Yi-En Su; Tian-Li Yu 001 (IEEE Congress on Evolutionary Computation, 2014)

Novel traffic signal timing adjustment strategy based on Genetic Algorithm. - Hsiao-Yu Tung; Wei-Chiu Ma; Tian-Li Yu 001 (IEEE Congress on Evolutionary Computation, 2014)

Investigation on efficiency of optimal mixing on various linkage sets. - Shih-Ming Wang; Yu-Fan Tung; Tian-Li Yu 001 (IEEE Congress on Evolutionary Computation, 2014)

Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II. - Shih-Huan Hsu 001; Tian-Li Yu 001 (GECCO, 2015)

Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing. - Yu-Fan Tung; Tian-Li Yu 001 (GECCO, 2015)

Investigation on Parameterless Schemes for DSMGA-II. - Chia-hua Chang; Tian-Li Yu 001 (GECCO (Companion), 2016)

Two-edge graphical linkage model for DSMGA-II. - Ping-Lin Chen; Chun-Jen Peng; Chang-Yi Lu; Tian-Li Yu 001 (GECCO, 2017)

Speeding up DSMGA-II on CUDA platform. - Sung-Chi Li; Tian-Li Yu 001 (GECCO, 2017)

A diversity preservation scheme for DSMGA-II to conquer the hierarchical difficulty. - Jheng-Ying Yu; I-Ting Chen; Tian-Li Yu 001 (GECCO, 2017)

Fast algorithm for fair comparison of genetic algorithms. - Chia-Sheng Chen; Hung-Wei Hsu; Tian-Li Yu 001 (GECCO, 2018)

Investigation of the exponential population scheme for genetic algorithms. - Yuen-Jen Lin; Tian-Li Yu 001 (GECCO, 2018)

On the investigation of population sizing of genetic algorithms using optimal mixing. - Yi-Yun Liao; Hung-Wei Hsu; Yi-Lin Juang; Tian-Li Yu 001 (GECCO, 2019)

An intuitive and traceable human-based evolutionary computation system for solving problems in human organizations. - Kei Ohnishi; Tomohiro Yoshikawa; Tian-Li Yu 001 (GECCO (Companion), 2019)

Comparison of GAs in black-box scenarios. - Cheng-Hao Yang; Hou-Teng Cheong; Tian-Li Yu 001 (GECCO (Companion), 2019)

Continuous optimization by hierarchical gaussian mixture with clustering embedded resource allocation. - Jhih-Wei Chen; Ming-Chun Lu; Tian-Li Yu 001 (GECCO Companion, 2020)

A test problem with difficulty in decomposing into sub-problems for model-based genetic algorithms. - Kei Ohnishi; Shota Ikeda; Tian-Li Yu 001 (GECCO Companion, 2020)

Test Problem in Which Bits Used for Fitness Calculation Depend on Bit Pattern. - Kei Ohnishi; Daiki Koga; Tian-Li Yu 001 (SSCI, 2021)

TAGA: a transfer-based black-box adversarial attack with genetic algorithms. - Liang-Jung Huang; Tian-Li Yu 001 (GECCO, 2022)

Trimming, ordering, and similarity check for DSMGA-II: DSMGA-II-TOS. - Ching-Chung Huang; Tian-Li Yu 001 (GECCO Companion, 2022)

Improving DSMGA-II performance on hierarchical problems by introducing preservative back mixing. - Chi-Meng Ngai; Tian-Li Yu 001 (GECCO Companion, 2022)

Taylor Polynomial Enhancer using Genetic Programming for Symbolic Regression. - Chi-Hsien Chang; Tu-Chin Chiang; Tzu-Hao Hsu; Ting-Shuo Chuang; Wen Zhong Fang; Tian-Li Yu 001 (GECCO Companion, 2023)

GP with Ranging-Binding Technique for Symbolic Regression. - Wen Zhong Fang; Chi-Hsien Chang; Jung-Chun Liu; Tian-Li Yu 001 (GECCO Companion, 2023)

Relational Bayesian Optimization for Permutation. - Bo-Wei Huang; Wen Zhong Fang; Hsu Chen Liao; Tian-Li Yu 001 (GECCO Companion, 2023)

Adaptive Donor Selection Mixing for Multi-objective Optimization: an Enhanced Variant of MO-GOMEA. - Hsu Chen Liao; Wen Zhong Fang; Tian-Li Yu 001 (GECCO, 2023)

A Novel Symbolic Regressor Enhancer Using Genetic Programming. - Tu-Chin Chiang; Chi-Hsien Chang; Tian-Li Yu 001 (CEC, 2024)

Program Synthesis on Single-Layer Loop Behavior in Pure Functional Programming. - Tzu-Hao Hsu; Chi-Hsien Chang; Tian-Li Yu 001 (CEC, 2024)

Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures. - Jung-Chun Liu; Chi-Hsien Chang; Shao-Hua Sun; Tian-Li Yu 001 (ICLR, 2024)