Articoli con mandati relativi all'accesso pubblico - Xiaodong Li, IEEE FellowUlteriori informazioni
Non disponibili pubblicamente: 31
A survey of weight vector adjustment methods for decomposition-based multiobjective evolutionary algorithms
X Ma, Y Yu, X Li, Y Qi, Z Zhu
IEEE Transactions on Evolutionary Computation 24 (4), 634-649, 2020
Mandati: National Natural Science Foundation of China
A backtracking search hyper-heuristic for the distributed assembly flow-shop scheduling problem
J Lin, ZJ Wang, X Li
Swarm and evolutionary computation 36, 124-135, 2017
Mandati: National Natural Science Foundation of China
Designing benchmark problems for large-scale continuous optimization
MN Omidvar, X Li, K Tang
Information Sciences 316, 419-436, 2015
Mandati: Australian Research Council
Self-adaptive multi-objective evolutionary algorithm based on decomposition for large-scale problems: A case study on reservoir flood control operation
Y Qi, L Bao, X Ma, Q Miao, X Li
Information Sciences 367, 529-549, 2016
Mandati: National Natural Science Foundation of China
User-preference based decomposition in MOEA/D without using an ideal point
Y Qi, X Li, J Yu, Q Miao
Swarm and evolutionary computation 44, 597-611, 2019
Mandati: National Natural Science Foundation of China
Cooperative coevolution with formula-based variable grouping for large-scale global optimization
Y Wang, H Liu, F Wei, T Zong, X Li
Evolutionary computation 26 (4), 569-596, 2018
Mandati: National Natural Science Foundation of China
Multi-objective optimization for designing of high-speed train cabin ventilation system using particle swarm optimization and multi-fidelity Kriging
N Li, L Yang, X Li, X Li, J Tu, SCP Cheung
Building and Environment 155, 161-174, 2019
Mandati: Australian Research Council
Enhanced multifactorial evolutionary algorithm with meme helper-tasks
X Ma, J Yin, A Zhu, X Li, Y Yu, L Wang, Y Qi, Z Zhu
IEEE Transactions on Cybernetics 52 (8), 7837-7851, 2021
Mandati: National Natural Science Foundation of China
Using statistical measures and machine learning for graph reduction to solve maximum weight clique problems
Y Sun, X Li, A Ernst
IEEE transactions on pattern analysis and machine intelligence, 2021
Mandati: Australian Research Council
Merged differential grouping for large-scale global optimization
X Ma, Z Huang, X Li, L Wang, Y Qi, Z Zhu
IEEE Transactions on Evolutionary Computation 26 (6), 1439-1451, 2022
Mandati: Australian Research Council, National Natural Science Foundation of China
A hybrid multiobjective GRASP for a multi-row facility layout problem with extra clearances
X Wan, X Zuo, X Li, X Zhao
International Journal of Production Research 60 (3), 957-976, 2022
Mandati: National Natural Science Foundation of China
Multiobjectivization of single-objective optimization in evolutionary computation: a survey
X Ma, Z Huang, X Li, Y Qi, L Wang, Z Zhu
IEEE Transactions on Cybernetics 53 (6), 3702-3715, 2021
Mandati: National Natural Science Foundation of China
Improving evolutionary multitasking optimization by leveraging inter-task gene similarity and mirror transformation
X Ma, Y Zheng, Z Zhu, X Li, L Wang, Y Qi, J Yang
IEEE Computational Intelligence Magazine 16 (4), 38-53, 2021
Mandati: National Natural Science Foundation of China
An improved performance metric for multiobjective evolutionary algorithms with user preferences
G Yu, J Zheng, X Li
2015 IEEE Congress on Evolutionary Computation (CEC), 908-915, 2015
Mandati: National Natural Science Foundation of China
An adaptive penalty-based boundary intersection method for many-objective optimization problem
Y Qi, D Liu, X Li, J Lei, X Xu, Q Miao
Information Sciences 509, 356-375, 2020
Mandati: National Natural Science Foundation of China
Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid
J Weiner, AT Ernst, X Li, Y Sun, K Deb
European Journal of Operational Research 293 (3), 847-862, 2021
Mandati: Australian Research Council
Enhancing robustness of the inverted PBI scalarizing method in MOEA/D
Y Qi, J Yu, X Li, Y Quan, Q Miao
Applied Soft Computing 71, 1117-1132, 2018
Mandati: National Natural Science Foundation of China
Evolutionary large-scale global optimization: An introduction
MN Omidvar, X Li
Proceedings of the genetic and evolutionary computation conference companion …, 2017
Mandati: UK Engineering and Physical Sciences Research Council
Differential evolution based hyper-heuristic for the flexible job-shop scheduling problem with fuzzy processing time
J Lin, D Luo, X Li, K Gao, Y Liu
Simulated Evolution and Learning: 11th International Conference, SEAL 2017 …, 2017
Mandati: National Natural Science Foundation of China
Rug-pull malicious token detection on blockchain using supervised learning with feature engineering
MH Nguyen, PD Huynh, SH Dau, X Li
Proceedings of the 2023 Australasian Computer Science Week, 72-81, 2023
Mandati: Australian Research Council
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