[Publication]

[1] Xiao-Fang Liu, Zhi-Hui Zhan, 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, accepted, 2021. (IF=8.793)

[2] Xiao-Fang Liu, Zhi-Hui Zhan, 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. (IF=8.793)

[3] Xiao-Fang Liu, Zhi-Hui Zhan, 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. (IF=11.169)

[4] Xiao Fang Liu, Zhi-Hui Zhan, 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 Highly cited paper，IF=11.169)

[5] Xiao-Fang Liu, Zhi-Hui Zhan, 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. (IF=9.309)

[6] Zhi-Hui Zhan, Xiao-Fang Liu, et al., “Cloudde: A heterogeneous differential evolution algorithm and its distributed cloud version,” IEEE Transactions on Parallel and Distributed Systems, vol. 28, no. 3, pp. 704-716, 2017. (CCF A)

[7] Zhi-Hui Zhan, Xiao-Fang Liu, et al., “Cloud computing resource scheduling and a survey of its evolutionary approaches,” ACM Computing Surveys, vol. 47, no. 4, 63, pp. 1-33, 2015. (ESI Highly cited paper)

[8] Xiao-Fang Liu, Yuren Zhou, et al., “Dual-archive-based particle swarm optimization for dynamic optimization,” Applied Soft Computing, vol. 85, 105876, 2019. (IF=5.472)

[9] Xiao-Fang Liu, Yuren Zhou, et al., “Cooperative particle swarm optimization with reference-point-based prediction strategy for dynamic multiobjective optimization,” Applied Soft Computing, vol. 87, 105988, 2020. (IF=5.472)

[10] Xiao-Fang Liu, Zhi-Hui Zhan, et al., “Neural network for change direction prediction in dynamic optimization,” IEEE Access, vol. 6, pp. 72649-72662, 2018. (IF=3.745)

[11] Xiao-Fang Liu, Zhi-Hui Zhan, et al., “An energy aware unified ant colony system for dynamic virtual machine placement in cloud computing,” Energies, vol. 10, no. 5, 609, pp. 1-15, 2017.

[12] Xue Yu, Yuren Zhou, and Xiao-Fang Liu, “A novel hybrid genetic algorithm for the location routing problem with tight capacity constraints,” Applied Soft Computing, vol. 85, 105760, 2019.

[13] Xue Yu, Yuren Zhou, and Xiao-Fang Liu, “The two-echelon multi-objective location routing problem inspired by realistic waste collection applications: The composable model and a metaheuristic algorithm,” Applied Soft Computing, vol. 94, 106477, 2020.

[Teaching Courses]

Machine vision

Discrete mathematics

[Social Position]

Reviewer of multiple journals

IEEE Member