Tian-Li Yu
Affiliations:- National Taiwan University, Taipei, Taiwan
According to our database1,
Tian-Li Yu
authored at least 66 papers
between 2003 and 2024.
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Bibliography
2024
Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Adaptive Donor Selection Mixing for Multi-objective Optimization: an Enhanced Variant of MO-GOMEA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Improving DSMGA-II performance on hierarchical problems by introducing preservative back mixing.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
2020
A test problem with difficulty in decomposing into sub-problems for model-based genetic algorithms.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Continuous optimization by hierarchical gaussian mixture with clustering embedded resource allocation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
An intuitive and traceable human-based evolutionary computation system for solving problems in human organizations.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
On the investigation of population sizing of genetic algorithms using optimal mixing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
2015
Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Use model building on discretization algorithms for discrete EDAs To work on real-valued problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Linkage learning by number of function evaluations estimation: Practical view of building blocks.
Inf. Sci., 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Effects of discrete hill climbing on model building forestimation of distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
2012
Off-line building block identification: detecting building blocks directly from fitness without genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
The essence of real-valued characteristic function for pairwise relation in linkage learning for EDAs.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
A test function with full controllability over overlapping: estimation of distribution algorithms.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
Psychological preference-based optimization framework on the nurse scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
An efficient fashion-driven learning approach to model user preferences in on-line shopping scenarios.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
Interaction-detection metric with differential mutual complement for dependency structure matrix genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Evol. Comput., 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
2008
Proceedings of the Linkage in Evolutionary Computation, 2008
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
2007
Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements.
Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007
Proceedings of the Third International Conference on Natural Computation, 2007
Population sizing for entropy-based model building in discrete estimation of distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Do not match, inherit: fitness surrogates for genetics-based machine learning techniques.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006
A Matrix Approach for Finding Extrema: Problems With Modularity, Hierarchy, and Overlap
PhD thesis, 2006
Math. Comput. Model., 2006
Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
2005
Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation, 2004
Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm.
Proceedings of the Genetic and Evolutionary Computation, 2004
2003
Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm.
Proceedings of the Genetic and Evolutionary Computation, 2003
Proceedings of the Genetic and Evolutionary Computation, 2003