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Tianjun Liao
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2020 – today
- 2024
- [j19]Xiaoxi Zhang, Yongjun Pan
, Junxiao Zhou, Zhixiong Li
Forward and reverse design of adhesive in batteries via dynamics and machine learning algorithms for enhanced mechanical safety. Reliab. Eng. Syst. Saf. 247: 110141 (2024) - 2023
- [j18]Quansheng Sun
A Method of Merging Maps for MUAVs Based on an Improved Genetic Algorithm. Sensors 23(1): 447 (2023) - [j17]Rui Hong, Feng Yao, Tianjun Liao, Lining Xing, Zhaoquan Cai, Feng Hou:
Growing neural gas assisted evolutionary many-objective optimization for handling irregular Pareto fronts. Swarm Evol. Comput. 78: 101273 (2023) - [j16]Meng Guo
Hierarchical Motion Planning Under Probabilistic Temporal Tasks and Safe-Return Constraints. IEEE Trans. Autom. Control. 68(11): 6727-6742 (2023) - [j15]Mingfeng Fan
Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations. IEEE Trans. Veh. Technol. 72(5): 5732-5746 (2023) - [j14]Jiaxing Li, Guohua Wu
Task Scheduling Under a Novel Framework for Data Relay Satellite Network via Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 72(5): 6654-6668 (2023) - [i1]Meng Guo, Tianjun Liao, Junjie Wang, Zhongkui Li:
Hierarchical Motion Planning under Probabilistic Temporal Tasks and Safe-Return Constraints. CoRR abs/2302.05242 (2023) - 2022
- [j13]Qihai Sun
Fixed-Time Coverage Control of Mobile Robot Networks Considering the Time Cost Metric. Sensors 22(22): 8938 (2022)
2010 – 2019
- 2018
- [j12]Leilei Chang
Akaike Information Criterion-based conjunctive belief rule base learning for complex system modeling. Knowl. Based Syst. 161: 47-64 (2018) - [j11]Rui Wang
Localized Weighted Sum Method for Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(1): 3-18 (2018) - [j10]Lei-Lei Chang
Belief Rule Base Structure and Parameter Joint Optimization Under Disjunctive Assumption for Nonlinear Complex System Modeling. IEEE Trans. Syst. Man Cybern. Syst. 48(9): 1542-1554 (2018) - [c19]Niping Jia
A System Dynamics Model for Analyzing Swarming UAVs Air Combat System. SoSE 2018: 74-81 - 2017
- [j9]Mingfa Zheng, Yuan Yi, Zutong Wang, Tianjun Liao:
Efficient solution concepts and their application in uncertain multiobjective programming. Appl. Soft Comput. 56: 557-569 (2017) - [j8]Mingfa Zheng, Yuan Yi, Zutong Wang, Tianjun Liao:
Relations among efficient solutions in uncertain multiobjective programming. Fuzzy Optim. Decis. Mak. 16(3): 329-357 (2017) - [c18]Qi Xiong, Guiming Chen, Zhaojun Mao, Tianjun Liao, Leilei Chang:
Computational requirments analysis on the conjunctive and disjunctive assumptions for The Belief Rule Base. ICMLC 2017: 236-240 - [c17]Licheng Lu, Qunyan Ren, Li Ma, Shengming Guo, Tianjun Liao:
Sediment acoustic characterization by optimizing single-beam sonar echoes. ICSPCC 2017: 1-4 - [c16]Leilei Chang, Tianjun Liao, Jiang Jiang:
A case study of the generation, description, modeling and assessment of technology system of systems. ISKE 2017: 1-7 - [c15]Shiming Li, Duo Liu, Chaoneng Xiang, Jianfeng Liu, Yingjian Ling, Tianjun Liao, Liang Liang:
FitCNN: A cloud-assisted lightweight convolutional neural network framework for mobile devices. RTCSA 2017: 1-6 - 2016
- [c14]Xiaobo Li, Tianjun Liao, Weiping Wang, Zhe Shu, Ning Zhu, Yonglin Lei:
An Ontology Based Domain-Specific Composable Modeling Method for Complex Simulation Systems. AsiaSim/SCS AutumnSim (1) 2016: 316-324 - [c13]Xiaobo Li, Weiping Wang, Zhe Shu, Ning Zhu, Hua He, Tianjun Liao:
A system-of-systems architecture-driven modeling method for combat system effectiveness simulation. ISSE 2016: 1-7 - 2015
- [j7]Tianjun Liao:
Population-based heuristic algorithms for continuous and mixed discrete-continuous optimization problems. 4OR 13(3): 337-338 (2015) - [j6]Tianjun Liao, Daniel Molina
Performance evaluation of automatically tuned continuous optimizers on different benchmark sets. Appl. Soft Comput. 27: 490-503 (2015) - [c12]Xiaoyu Zhang, Rui Wang
Short-Term Forecasting of Wind Power Generation Based on the Similar Day and Elman Neural Network. SSCI 2015: 647-650 - [c11]Yan Zhang, Rui Wang
Stochastic Model Predictive Control Based Economic Dispatch for Hybrid Energy System Including Wind and Energy Storage Devices. SSCI 2015: 1267-1271 - 2014
- [j5]Tianjun Liao, Daniel Molina
A Note on Bound Constraints Handling for the IEEE CEC'05 Benchmark Function Suite. Evol. Comput. 22(2): 351-359 (2014) - [j4]Tianjun Liao, Thomas Stützle
A unified ant colony optimization algorithm for continuous optimization. Eur. J. Oper. Res. 234(3): 597-609 (2014) - [j3]Tianjun Liao, Krzysztof Socha, Marco Antonio Montes de Oca, Thomas Stützle
Ant Colony Optimization for Mixed-Variable Optimization Problems. IEEE Trans. Evol. Comput. 18(4): 503-518 (2014) - [c10]Tianjun Liao, Ruijun Li, Guangrong You, Ke-Wei Yang:
Simulation-based ant colony optimization for complex system configuration problems. SoSE 2014: 254-259 - 2013
- [j2]Tianjun Liao, Marco Antonio Montes de Oca, Thomas Stützle
Computational results for an automatically tuned CMA-ES with increasing population size on the CEC'05 benchmark set. Soft Comput. 17(6): 1031-1046 (2013) - [j1]Tianjun Liao, Dogan Aydin
Artificial bee colonies for continuous optimization: Experimental analysis and improvements. Swarm Intell. 7(4): 327-356 (2013) - [c9]Tianjun Liao, Thomas Stützle
Benchmark results for a simple hybrid algorithm on the CEC 2013 benchmark set for real-parameter optimization. IEEE Congress on Evolutionary Computation 2013: 1938-1944 - [c8]Tianjun Liao, Thomas Stützle
Bounding the population size of IPOP-CMA-ES on the noiseless BBOB testbed. GECCO (Companion) 2013: 1161-1168 - [c7]Tianjun Liao, Thomas Stützle
Testing the impact of parameter tuning on a variant of IPOP-CMA-ES with a bounded maximum population size on the noiseless BBOB testbed. GECCO (Companion) 2013: 1169-1176 - [c6]Tianjun Liao, Thomas Stützle
Expensive optimization scenario: IPOP-CMA-ES with a population bound mechanism for noiseless function testbed. GECCO (Companion) 2013: 1185-1192 - 2012
- [c5]Tianjun Liao, Daniel Molina
An ACO algorithm benchmarked on the BBOB noiseless function testbed. GECCO (Companion) 2012: 159-166 - [c4]Manuel López-Ibáñez
On the Anytime Behavior of IPOP-CMA-ES. PPSN (1) 2012: 357-366 - 2011
- [c3]Dogan Aydin
Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm. Artificial Evolution 2011: 85-96 - [c2]Tianjun Liao, Marco Antonio Montes de Oca, Dogan Aydin
An incremental ant colony algorithm with local search for continuous optimization. GECCO 2011: 125-132 - [c1]Tianjun Liao, Marco Antonio Montes de Oca, Thomas Stützle
Tuning parameters across mixed dimensional instances: a performance scalability study of Sep-G-CMA-ES. GECCO (Companion) 2011: 703-706
Coauthor Index
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