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Rung-Tzuo Liaw
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2020 – today
- 2024
- [j6]Rung-Tzuo Liaw
, Yu-Wei Wen
Ensemble Learning Through Evolutionary Multitasking: A Formulation and Case Study. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 3081-3094 (2024) - [c12]Ming-You Ying, Rung-Tzuo Liaw:
A Language-Free Evolutionary Framework for Text-to-Image Generation. CEC 2024: 1-8 - 2023
- [c11]Rung-Tzuo Liaw, Yu-Ting Lo:
Evolutionary Multitask Reinforcement Learning Using Symbiosis in Biocoenosis Optimization. CEC 2023: 1-8 - 2022
- [c10]Cheng-Yu Hsieh, Rung-Tzuo Liaw:
Summit-assisted Evolutionary Multitasking. CEC 2022: 1-8 - 2021
- [j5]Rung-Tzuo Liaw:
A cooperative coevolution framework for evolutionary learning and instance selection. Swarm Evol. Comput. 62: 100840 (2021) - 2020
- [j4]Rung-Tzuo Liaw
Evolution of biocoenosis through symbiosis with fitness approximation for many-tasking optimization. Memetic Comput. 12(4): 399-417 (2020) - [c9]Ting-Chen Wang, Rung-Tzuo Liaw:
Multifactorial Genetic Fuzzy Data Mining for Building Membership Functions. CEC 2020: 1-8
2010 – 2019
- 2019
- [c8]Rung-Tzuo Liaw, Chuan-Kang Ting:
Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis. AAAI 2019: 4295-4303 - [c7]Ting-Chen Wang, Chih-Yu Lin, Rung-Tzuo Liaw, Chuan-Kang Ting
Empirical Analysis of Island Model on Large Scale Global Optimization. CEC 2019: 342-349 - 2018
- [j3]Chuan-Kang Ting
Mining fuzzy association rules using a memetic algorithm based on structure representation. Memetic Comput. 10(1): 15-28 (2018) - [c6]Rung-Tzuo Liaw, Chuan-Kang Ting
Incorporating Fitness Inheritance and k-Nearest Neighbors for Evolutionary Dynamic Optimization. CEC 2018: 1-8 - 2017
- [j2]Chuan-Kang Ting
Multi-vehicle selective pickup and delivery using metaheuristic algorithms. Inf. Sci. 406: 146-169 (2017) - [j1]Chuan-Kang Ting
Genetic algorithm with a structure-based representation for genetic-fuzzy data mining. Soft Comput. 21(11): 2871-2882 (2017) - [c5]Rung-Tzuo Liaw, Chuan-Kang Ting:
Evolutionary many-tasking based on biocoenosis through symbiosis: A framework and benchmark problems. CEC 2017: 2266-2273 - [c4]Rung-Tzuo Liaw, Yu-Wei Chang, Chuan-Kang Ting
Solving the Selective Pickup and Delivery Problem Using Max-Min Ant System. ICSI (1) 2017: 293-300 - 2016
- [c3]Ting-Chen Wang, Rung-Tzuo Liaw, Chuan-Kang Ting:
MOEA/D using covariance matrix adaptation evolution strategy for complex multi-objective optimization problems. CEC 2016: 983-990 - [c2]Rung-Tzuo Liaw, Chuan-Kang Ting:
Enhancing covariance matrix adaptation evolution strategy through fitness inheritance. CEC 2016: 1956-1963 - 2013
- [c1]Rung-Tzuo Liaw, Chuan-Kang Ting
Effect of model complexity for estimation of distribution algorithm in NK landscapes. FOCI 2013: 76-83
Coauthor Index
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