Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm. - Dogan Aydin; Tianjun Liao; Marco Antonio Montes de Oca; Thomas Stützle (Artificial Evolution, 2011)

An incremental ant colony algorithm with local search for continuous optimization. - Tianjun Liao; Marco Antonio Montes de Oca; Dogan Aydin; Thomas Stützle; Marco Dorigo (GECCO, 2011)

Tuning parameters across mixed dimensional instances: a performance scalability study of Sep-G-CMA-ES. - Tianjun Liao; Marco Antonio Montes de Oca; Thomas Stützle (GECCO (Companion), 2011)

An ACO algorithm benchmarked on the BBOB noiseless function testbed. - Tianjun Liao; Daniel Molina; Thomas Stützle; Marco Antonio Montes de Oca; Marco Dorigo (GECCO (Companion), 2012)

On the Anytime Behavior of IPOP-CMA-ES. - Manuel López-Ibáñez 001; Tianjun Liao; Thomas Stützle (PPSN (1), 2012)

Benchmark results for a simple hybrid algorithm on the CEC 2013 benchmark set for real-parameter optimization. - Tianjun Liao; Thomas Stützle (IEEE Congress on Evolutionary Computation, 2013)

Bounding the population size of IPOP-CMA-ES on the noiseless BBOB testbed. - Tianjun Liao; Thomas Stützle (GECCO (Companion), 2013)

Testing the impact of parameter tuning on a variant of IPOP-CMA-ES with a bounded maximum population size on the noiseless BBOB testbed. - Tianjun Liao; Thomas Stützle (GECCO (Companion), 2013)

Expensive optimization scenario: IPOP-CMA-ES with a population bound mechanism for noiseless function testbed. - Tianjun Liao; Thomas Stützle (GECCO (Companion), 2013)

Computational results for an automatically tuned CMA-ES with increasing population size on the CEC'05 benchmark set. - Tianjun Liao; Marco Antonio Montes de Oca; Thomas Stützle (Soft Comput., 2013)

Artificial bee colonies for continuous optimization: Experimental analysis and improvements. - Tianjun Liao; Dogan Aydin; Thomas Stützle (Swarm Intell., 2013)

Simulation-based ant colony optimization for complex system configuration problems. - Tianjun Liao; Ruijun Li; Guangrong You; Ke-Wei Yang 003 (SoSE, 2014)

A Note on Bound Constraints Handling for the IEEE CEC'05 Benchmark Function Suite. - Tianjun Liao; Daniel Molina; Marco Antonio Montes de Oca; Thomas Stützle (Evol. Comput., 2014)

A unified ant colony optimization algorithm for continuous optimization. - Tianjun Liao; Thomas Stützle; Marco Antonio Montes de Oca; Marco Dorigo (Eur. J. Oper. Res., 2014)

Ant Colony Optimization for Mixed-Variable Optimization Problems. - Tianjun Liao; Krzysztof Socha; Marco Antonio Montes de Oca; Thomas Stützle; Marco Dorigo (IEEE Trans. Evol. Comput., 2014)

Short-Term Forecasting of Wind Power Generation Based on the Similar Day and Elman Neural Network. - Xiaoyu Zhang; Rui Wang 017; Tianjun Liao; Tao Zhang 033; Yabin Zha (SSCI, 2015)

Stochastic Model Predictive Control Based Economic Dispatch for Hybrid Energy System Including Wind and Energy Storage Devices. - Yan Zhang; Rui Wang 017; Tao Zhang 033; Tianjun Liao; Yajie Liu; Bo Guo (SSCI, 2015)

Population-based heuristic algorithms for continuous and mixed discrete-continuous optimization problems. - Tianjun Liao (4OR, 2015)

Performance evaluation of automatically tuned continuous optimizers on different benchmark sets. - Tianjun Liao; Daniel Molina; Thomas Stützle (Appl. Soft Comput., 2015)

An Ontology Based Domain-Specific Composable Modeling Method for Complex Simulation Systems. - Xiaobo Li 003; Tianjun Liao; Weiping Wang 002; Zhe Shu; Ning Zhu; Yonglin Lei (AsiaSim/SCS AutumnSim (1), 2016)

A system-of-systems architecture-driven modeling method for combat system effectiveness simulation. - Xiaobo Li 003; Weiping Wang 002; Zhe Shu; Ning Zhu; Hua He; Tianjun Liao (ISSE, 2016)

Computational requirments analysis on the conjunctive and disjunctive assumptions for The Belief Rule Base. - Qi Xiong; Guiming Chen; Zhaojun Mao; Tianjun Liao; Leilei Chang 001 (ICMLC, 2017)

Sediment acoustic characterization by optimizing single-beam sonar echoes. - Licheng Lu; Qunyan Ren; Li Ma; Shengming Guo; Tianjun Liao (ICSPCC, 2017)

A case study of the generation, description, modeling and assessment of technology system of systems. - Leilei Chang 001; Tianjun Liao; Jiang Jiang 001 (ISKE, 2017)

FitCNN: A cloud-assisted lightweight convolutional neural network framework for mobile devices. - Shiming Li; Duo Liu; Chaoneng Xiang; Jianfeng Liu; Yingjian Ling; Tianjun Liao; Liang Liang 002 (RTCSA, 2017)

Efficient solution concepts and their application in uncertain multiobjective programming. - Mingfa Zheng; Yuan Yi; Zutong Wang; Tianjun Liao (Appl. Soft Comput., 2017)

Relations among efficient solutions in uncertain multiobjective programming. - Mingfa Zheng; Yuan Yi; Zutong Wang; Tianjun Liao (Fuzzy Optim. Decis. Mak., 2017)

A System Dynamics Model for Analyzing Swarming UAVs Air Combat System. - Niping Jia; Zhiwei Yang 006; Tianjun Liao; Yajie Dou; Kewei Yang 001 (SoSE, 2018)

Akaike Information Criterion-based conjunctive belief rule base learning for complex system modeling. - Leilei Chang 001; Zhi-Jie Zhou 001; Yu-Wang Chen; Xiaobin Xu 002; Jianbin Sun; Tian-Jun Liao; Xu Tan 002 (Knowl. Based Syst., 2018)

Localized Weighted Sum Method for Many-Objective Optimization. - Rui Wang 017; Zhongbao Zhou; Hisao Ishibuchi; Tianjun Liao; Tao Zhang 033 (IEEE Trans. Evol. Comput., 2018)

Belief Rule Base Structure and Parameter Joint Optimization Under Disjunctive Assumption for Nonlinear Complex System Modeling. - Lei-Lei Chang 001; Zhi-Jie Zhou 001; Yu-Wang Chen; Tian-Jun Liao; Yu Hu; Longhao Yang (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Fixed-Time Coverage Control of Mobile Robot Networks Considering the Time Cost Metric. - Qihai Sun; Tianjun Liao; Zhi-Wei Liu; Ming Chi; Dingxin He (Sensors, 2022)

Hierarchical Motion Planning under Probabilistic Temporal Tasks and Safe-Return Constraints. - Meng Guo 004; Tianjun Liao; Junjie Wang; Zhongkui Li (CoRR, 2023)

A Method of Merging Maps for MUAVs Based on an Improved Genetic Algorithm. - Quansheng Sun; Tianjun Liao; Haibo Du; Yinfeng Zhao; Chih-Chiang Chen (Sensors, 2023)

Growing neural gas assisted evolutionary many-objective optimization for handling irregular Pareto fronts. - Rui Hong; Feng Yao; Tianjun Liao; Lining Xing 001; Zhaoquan Cai 001; Feng Hou (Swarm Evol. Comput., 2023)

Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations. - Mingfeng Fan; Yaoxin Wu; Tianjun Liao; Zhiguang Cao; Hongliang Guo; Guillaume Sartoretti; Guohua Wu 001 (IEEE Trans. Veh. Technol., 2023)

Task Scheduling Under a Novel Framework for Data Relay Satellite Network via Deep Reinforcement Learning. - Jiaxing Li; Guohua Wu 001; Tianjun Liao; Mingfeng Fan; Xiao Mao; Witold Pedrycz (IEEE Trans. Veh. Technol., 2023)

Hierarchical Motion Planning Under Probabilistic Temporal Tasks and Safe-Return Constraints. - Meng Guo 002; Tianjun Liao; Junjie Wang; Zhongkui Li (IEEE Trans. Autom. Control., 2023)

Forward and reverse design of adhesive in batteries via dynamics and machine learning algorithms for enhanced mechanical safety. - Xiaoxi Zhang; Yongjun Pan; Junxiao Zhou; Zhixiong Li 001; Tianjun Liao; Jie Li (Reliab. Eng. Syst. Saf., 2024)

Drone on-demand delivery routing problem considering order splitting and battery swapping. - Shuxuan Li; Tianjun Liao; Guohua Wu 001; Yalin Wang 003; Ponnuthurai Nagaratnam Suganthan (Comput. Ind. Eng., 2025)

Two-Echelon Arc Routing Problem With Drones in Traffic Patrol. - Jiaqi Cheng; Tianjun Liao; Guohua Wu 001; Zhongqiang Ma; Jianmai Shi (IEEE Trans Autom. Sci. Eng., 2025)