1. Yu X, Qiao Y. Enhanced Comprehensive Learning Particle Swarm Optimization with Dimensional Independent and Adaptive Parameters[J]. Computational Intelligence and Neuroscience, 2021, 2021.
2. Yu X, Qiao Y, Li Q, et al. Parallelizing comprehensive learning particle swarm optimization by open computing language on an integrated graphical processing unit[J]. Complexity, 2020, 2020.
3. Yu X, Wang Y, Wu L, et al. Comparison of support vector regression and extreme gradient boosting for decomposition-based data-driven 10-day streamflow forecasting[J]. Journal of Hydrology, 2020, 582: 124293.
4. Yu X, Zhang X, Qin H. A data-driven model based on Fourier transform and support vector regression for monthly reservoir inflow forecasting[J]. Journal of Hydro-environment Research, 2018, 18: 12-24.
5. Yu X, Zhang X. Multiswarm comprehensive learning particle swarm optimization for solving multiobjective optimization problems[J]. PloS one, 2017, 12(2): e0172033.
6. Yu X, Sun H, Wang H, et al. Multi-objective sustainable operation of the Three Gorges cascaded hydropower system using multi-swarm comprehensive learning particle swarm optimization[J]. Energies, 2016, 9(6): 438.
7. Zhang X, Yu X, Qin H. Optimal operation of multi-reservoir hydropower systems using enhanced comprehensive learning particle swarm optimization[J]. Journal of Hydro-Environment Research, 2016, 10: 50-63.
8. Yu X, Zhang X. Unit commitment using Lagrangian relaxation and particle swarm optimization[J]. International Journal of Electrical Power & Energy Systems, 2014, 61: 510-522.
9. Yu X, Zhang X. Enhanced comprehensive learning particle swarm optimization[J]. Applied Mathematics and Computation, 2014, 242: 265-276.