◆ 主持国家自然科学基金面上项目（2025-2028）

◆ 主持国家自然科学青年基金（2022-2024）

◆ 主持天津市自然科学青年基金（2021-2023）

期刊论文

[1] Yang-Tao Dai (硕士生), Xiao-Fang Liu* (刘晓芳,通讯作者),  Yongchun Fang, Zhi-Hui Zhan, Jun Zhang,  “Multi-source knowledge fusion based on graph attention networks for many-task optimization,” IEEE Transactions on Evolutionary Computation, 2024, DOI: 10.1109/TEVC.2024.3465542. (中科院SCI一区Top期刊, IF=14.3)

[2] Tong Qian (硕士生), Xiao-Fang Liu* (刘晓芳,通讯作者),  Yongchun Fang, “A cooperative ant colony system for multiobjective multirobot task allocation with precedence constraints,” IEEE Transactions on Evolutionary Computation, 2024, DOI: 10.1109/TEVC.2024.3364493. (中科院SCI一区Top期刊, IF=14.3)

[3] Xiao-Fang Liu (刘晓芳), Zhi-Hui Zhan, Jun Zhang, “Transfer-Based Particle Swarm Optimization for Large-Scale Dynamic Optimization With Changing Variable Interactions,”IEEE Transactions on Evolutionary Computation, 2023, accepted, DOI:10.1109/TEVC.2023.3326327. (中科院SCI一区Top期刊, IF=14.3)

[4] Xiao-Fang Liu (刘晓芳), Jun Zhang, Jun Wang “Cooperative Differential Evolution With an Attention-Based Prediction Strategy for Dynamic Multiobjective Optimization,”IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, accpeted, DOI: 10.1109/TSMC.2023.3298804. (中科院SCI一区Top期刊, IF=11.471)

[5] Xiao-Fang Liu (刘晓芳), Yongchun Fang, Zhi-Hui Zhan,  Yun-Liang Jiang, Jun Zhang, “A cooperative evolutionary computation algorithm for dynamic multiobjective multi-auv path planning,” IEEE Transactions on Industrial Informatics, 2023, accepted, DOI: 10.1109/TII.2023.3268760.(ESI高被引论文,中科院SCI一区Top期刊, IF=11.648)

[6] Xiao-Fang Liu (刘晓芳), Xin-Xin Xu, Zhi-Hui Zhan, Yongchun Fang, Jun Zhang, “Interaction-based prediction for dynamic multiobjective optimization,” IEEE Transactions on Evolutionary Computation, 2023, accepted, DOI: 10.1109/TEVC.2023.3234113. (中科院SCI一区Top期刊, IF=14.3)

[7] Xiao-Fang Liu (刘晓芳), Yongchun Fang, Zhi-Hui Zhan, Jun Zhang, “Strength learning particle swarm optimization for multiobjective multirobot task scheduling,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, accpeted, DOI: 10.1109/TSMC.2023.3239953. (中科院SCI一区Top期刊, IF=11.471)

[8] Xiao-Fang Liu (刘晓芳), Jun Zhang, and Jun Wang, “Cooperative particle swarm optimization with a bilevel resource allocation mechanism for large-scale dynamic optimization,” IEEE Transactions on Cybernetics, vol. 53, no. 2, pp. 1000-1011, 2023. (中科院SCI一区Top期刊, IF=19.118)

[9] Xiao-Fang Liu (刘晓芳), et al., “Resource-aware distributed differential evolution for training expensive neural-network-based controller in power electronic circuit,” IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 1, pp. 6286-6296, 2022.(中科院SCI一区Top期刊，IF=14.255)

[10] Xiao-Fang Liu (刘晓芳), et al., “Neural network-based information transfer for dynamic optimization,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 5, pp. 1557-1570, 2020.(中科院SCI一区Top期刊，IF=14.255)

[11] Xiao-Fang Liu(刘晓芳), et al.,  “Coevolutionary particle swarm optimization with bottleneck objective learning strategy for many-objective optimization,” IEEE Transactions on Evolutionary Computation, vol. 23, no. 4, pp. 587-602, 2019. (中科院SCI一区Top期刊，IF=14.3)

[12] Xiao Fang Liu(刘晓芳), et al.,  “An energy efficient ant colony system for virtual machine placement in cloud computing,” IEEE Transactions on Evolutionary Computation, vol. 22, no. 1, pp. 113-128, 2018. (ESI高被引论文,中科院SCI一区Top期刊，IF=14.3)

[13] Xiao-Fang Liu(刘晓芳), et al., “Historical and heuristic-based adaptive differential evolution,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 12, pp. 2623-2635, 2019. (中科院SCI一区Top期刊，IF=11.471)

本科课程：机器视觉技术、离散数学

研究生课程：运筹学与最优化