Tian-Li Yu - RankMe

73 papers A* 2A 30B 8Journal 6Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Constraint-Handling Method for Model-Building Genetic Algorithm: Three-Population Scheme. IJCCI (2) Yu-Hao Kao, Chi-Hsien Chang, Tian-Li Yu
2025	—	`conf`	Genetic Programming with Ranging-Binding Mechanism for Symbolic Regression. IJCCI (2) Wen Zhong Fang, Chi-Hsien Chang, Jung-Chun Liu, Tian-Li Yu
2025	—	`conf`	Investigation of Behavioral Cloning Guided Genetic Programming Using a Multilayer Perceptron for Symbolic Regression. IJCCI (2) Liang-Wei Lee, Tian-Li Yu
2025	—	`conf`	Novel Discretization Scheme for Multidimensional Split-on-Demand on Real-Valued Optimization with High Multi-modality. IJCCI (2) Che-Wei Liang, Tian-Li Yu
2025	J	`jnl`	The working principles of model-based GAs fall within the PAC framework: A mathematical theory of problem decomposition. CoRR Tian-Li Yu, Chi-Hsien Chang, Ying-Ping Chen
2024	B	`conf`	A Novel Symbolic Regressor Enhancer Using Genetic Programming. CEC Tu-Chin Chiang, Chi-Hsien Chang, Tian-Li Yu
2024	A*	`conf`	Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures. ICLR Jung-Chun Liu, Chi-Hsien Chang, Shao-Hua Sun, Tian-Li Yu
2024	B	`conf`	Program Synthesis on Single-Layer Loop Behavior in Pure Functional Programming. CEC Tzu-Hao Hsu, Chi-Hsien Chang, Tian-Li Yu
2023	A	`conf`	Adaptive Donor Selection Mixing for Multi-objective Optimization: an Enhanced Variant of MO-GOMEA. GECCO Hsu Chen Liao, Wen Zhong Fang, Tian-Li Yu
2023	—	`conf`	GP with Ranging-Binding Technique for Symbolic Regression. GECCO Companion Wen Zhong Fang, Chi-Hsien Chang, Jung-Chun Liu, Tian-Li Yu
2023	—	`conf`	Relational Bayesian Optimization for Permutation. GECCO Companion Bo-Wei Huang, Wen Zhong Fang, Hsu Chen Liao, Tian-Li Yu
2023	—	`conf`	Taylor Polynomial Enhancer using Genetic Programming for Symbolic Regression. GECCO Companion Chi-Hsien Chang, Tu-Chin Chiang, Tzu-Hao Hsu, Ting-Shuo Chuang, Wen Zhong Fang, Tian-Li Yu
2022	—	`conf`	Improving DSMGA-II performance on hierarchical problems by introducing preservative back mixing. GECCO Companion Chi-Meng Ngai, Tian-Li Yu
2022	A	`conf`	TAGA: a transfer-based black-box adversarial attack with genetic algorithms. GECCO Liang-Jung Huang, Tian-Li Yu
2022	—	`conf`	Trimming, ordering, and similarity check for DSMGA-II: DSMGA-II-TOS. GECCO Companion Ching-Chung Huang, Tian-Li Yu
2021	—	`conf`	Test Problem in Which Bits Used for Fitness Calculation Depend on Bit Pattern. SSCI Kei Ohnishi, Daiki Koga, Tian-Li Yu
2020	—	`conf`	A test problem with difficulty in decomposing into sub-problems for model-based genetic algorithms. GECCO Companion Kei Ohnishi, Shota Ikeda, Tian-Li Yu
2020	—	`conf`	Continuous optimization by hierarchical gaussian mixture with clustering embedded resource allocation. GECCO Companion Jhih-Wei Chen, Ming-Chun Lu, Tian-Li Yu
2019	—	`conf`	An intuitive and traceable human-based evolutionary computation system for solving problems in human organizations. GECCO (Companion) Kei Ohnishi, Tomohiro Yoshikawa, Tian-Li Yu
2019	—	`conf`	Comparison of GAs in black-box scenarios. GECCO (Companion) Cheng-Hao Yang, Hou-Teng Cheong, Tian-Li Yu
2019	A	`conf`	On the investigation of population sizing of genetic algorithms using optimal mixing. GECCO Yi-Yun Liao, Hung-Wei Hsu, Yi-Lin Juang, Tian-Li Yu
2018	A	`conf`	Fast algorithm for fair comparison of genetic algorithms. GECCO Chia-Sheng Chen, Hung-Wei Hsu, Tian-Li Yu
2018	A	`conf`	Investigation of the exponential population scheme for genetic algorithms. GECCO Yuen-Jen Lin, Tian-Li Yu
2018	J	`jnl`	Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II. CoRR Shih-Huan Hsu, Tian-Li Yu
2018	J	`jnl`	Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing. CoRR Yu-Fan Tung, Tian-Li Yu
2017	A	`conf`	A diversity preservation scheme for DSMGA-II to conquer the hierarchical difficulty. GECCO Jheng-Ying Yu, I-Ting Chen, Tian-Li Yu
2017	A	`conf`	Speeding up DSMGA-II on CUDA platform. GECCO Sung-Chi Li, Tian-Li Yu
2017	A	`conf`	Two-edge graphical linkage model for DSMGA-II. GECCO Ping-Lin Chen, Chun-Jen Peng, Chang-Yi Lu, Tian-Li Yu
2016	—	`conf`	Investigation on Parameterless Schemes for DSMGA-II. GECCO (Companion) Chia-Hua Chang, Tian-Li Yu
2015	A	`conf`	Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II. GECCO Shih-Huan Hsu, Tian-Li Yu
2015	A	`conf`	Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing. GECCO Yu-Fan Tung, Tian-Li Yu
2014	B	`conf`	Investigation on efficiency of optimal mixing on various linkage sets. IEEE Congress on Evolutionary Computation Shih-Ming Wang, Yu-Fan Tung, Tian-Li Yu
2014	B	`conf`	Novel traffic signal timing adjustment strategy based on Genetic Algorithm. IEEE Congress on Evolutionary Computation Hsiao-Yu Tung, Wei-Chiu Ma, Tian-Li Yu
2014	B	`conf`	Use model building on discretization algorithms for discrete EDAs To work on real-valued problems. IEEE Congress on Evolutionary Computation Yi-En Su, Tian-Li Yu
2013	A	`conf`	A niching scheme for EDAs to reduce spurious dependencies. GECCO Po-Chun Hsu, Tian-Li Yu
2013	A	`conf`	Design of test problems for discrete estimation of distribution algorithms. GECCO Shih-Ming Wang, Jie-Wei Wu, Wei-Ming Chen, Tian-Li Yu
2013	A	`conf`	Effects of discrete hill climbing on model building forestimation of distribution algorithms. GECCO Wei-Ming Chen, Chu-Yu Hsu, Tian-Li Yu, Wei-Che Chien
2013	J	`jnl`	Linkage learning by number of function evaluations estimation: Practical view of building blocks. Inf. Sci. Kai-Chun Fan, Tian-Li Yu, Jui-Ting Lee
2013	A	`conf`	Speeding up model building for ECGA on CUDA platform. GECCO Chung-Yu Shao, Tian-Li Yu
2013	A	`conf`	Using representative strategies for finding nash equilibria. GECCO Chih-Yuan Chou, Tian-Li Yu
2012	—	`conf`	A linkage-learning niching in estimation of distribution algorithm. GECCO (Companion) Tsung-Yu Ho, Tian-Li Yu
2012	A	`conf`	A test problem with adjustable degrees of overlap and conflict among subproblems. GECCO Wei-Ming Chen, Chung-Yu Shao, Po-Chun Hsu, Tian-Li Yu
2012	—	`conf`	Affective content based music video paring system using real coded GA. GECCO (Companion) Chung-Hsiang Hsueh, Tian-Li Yu
2012	A	`conf`	Off-line building block identification: detecting building blocks directly from fitness without genetic algorithms. GECCO Hsuan Lee, Tian-Li Yu
2011	—	`conf`	A test function with full controllability over overlapping: estimation of distribution algorithms. GECCO (Companion) Jen-Hao Chang, Chung-Hsiang Hsueh, Hsuan Lee, Tian-Li Yu, Tsung-Yu Ho
2011	—	`conf`	Interaction detection by NFE estimation: a practical view of building blocks. GECCO (Companion) Kai-Chun Fan, Tian-Li Yu, Jui-Ting Lee
2011	A*	`conf`	Kernelized structural SVM learning for supervised object segmentation. CVPR Luca Bertelli, Tian-Li Yu, Diem Vu, Burak Gokturk
2011	A	`conf`	The essence of real-valued characteristic function for pairwise relation in linkage learning for EDAs. GECCO Jui-Ting Lee, Kai-Chun Fan, Tian-Li Yu
2010	—	`conf`	An efficient fashion-driven learning approach to model user preferences in on-line shopping scenarios. CVPR Workshops Orhan Çamoglu, Tian-Li Yu, Luca Bertelli, Diem Vu, Muralidharan V, Salih Gokturk
2010	A	`conf`	Co-evolution of cooperative strategies under egoism. GECCO Ta-Chun Lien, Tian-Li Yu, Ying-Shiuan You
2010	B	`conf`	Interaction-detection metric with differential mutual complement for dependency structure matrix genetic algorithm. IEEE Congress on Evolutionary Computation Kai-Chun Fan, Jui-Ting Lee, Tian-Li Yu, Tsung-Yu Ho
2010	A	`conf`	Psychological preference-based optimization framework on the nurse scheduling problem. GECCO Ying-Shiuan You, Tian-Li Yu, Ta-Chun Lien
2009	A	`conf`	Co-evolvability of games in coevolutionary genetic algorithms. GECCO Wei-Kai Lin, Tian-Li Yu
2009	J	`jnl`	Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. Evol. Comput. Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan
2009	A	`conf`	Difficulty of linkage learning in estimation of distribution algorithms. GECCO Si-Cheng Chen, Tian-Li Yu
2008	A	`conf`	Optimal sampling of genetic algorithms on polynomial regression. GECCO Tian-Li Yu, Wei-Kai Lin
2008	—	`ch.`	Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems. Linkage in Evolutionary Computation Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu
2008	A	`conf`	Using human body gestures as inputs for gaming via depth analysis. ICME Yong Wang, Tian-Li Yu, Larry Shi, Zhu Li
2007	A	`conf`	Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. GECCO Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg
2007	—	`conf`	Performance Analyses of Factorization Based on Gaussian PDF In rECGA. ICNC (4) Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu
2007	—	`ch.`	Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements. Parameter Setting in Evolutionary Algorithms Tian-Li Yu, Kumara Sastry, David E. Goldberg
2007	A	`conf`	Population sizing for entropy-based model building in discrete estimation of distribution algorithms. GECCO Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan
2007	B	`conf`	Real-coded ECGA for solving decomposable real-valued optimization problems. IEEE Congress on Evolutionary Computation Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu
2006	—	`—`	A Matrix Approach for Finding Extrema: Problems With Modularity, Hierarchy, and Overlap Tian-Li Yu
2006	A	`conf`	Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. GECCO Tian-Li Yu, David E. Goldberg
2006	—	`ch.`	Military Antenna Design Using a Simple Genetic Algorithm and hBOA. Scalable Optimization via Probabilistic Modeling Tian-Li Yu, Scott Santarelli, David E. Goldberg
2006	J	`jnl`	Military antenna design using simple and competent genetic algorithms. Math. Comput. Model. Scott Santarelli, Tian-Li Yu, David E. Goldberg, Edward E. Altshuler, Teresa O'Donnell, Hugh Southall, Robert Mailloux
2005	A	`conf`	Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. GECCO Tian-Li Yu, Kumara Sastry, David E. Goldberg
2005	B	`conf`	Online population size adjusting using noise and substructural measurements. Congress on Evolutionary Computation Tian-Li Yu, Kumara Sastry, David E. Goldberg
2004	—	`conf`	Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm. GECCO (2) Tian-Li Yu, David E. Goldberg
2004	—	`conf`	Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms. GECCO (2) Tian-Li Yu, David E. Goldberg
2003	A	`conf`	Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm. GECCO Tian-Li Yu, David E. Goldberg, Ali Yassine, Ying-Ping Chen
2003	A	`conf`	Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. GECCO Tian-Li Yu, David E. Goldberg, Kumara Sastry