人员

教师

尚可    研究助理教授

电子邮箱:

shangk_AT_sustech.edu.cn

办公室:

南山智园A7栋913室

研究方向:

多目标优化,演化计算,组合优化,鲁棒优化

教育背景

2005-2009,西安交通大学,信息工程,学士

2009-2016,西安交通大学,控制科学与工程,博士

2012-2014,日本德岛大学,访问学生

工作经历

2017-2019,南方科技大学,计算机科学与工程系,博士后

2019至今,南方科技大学,计算机科学与工程系,研究助理教授


荣誉与奖项

GECCO2018最佳论文奖

CEC2019最佳论文奖第二名


代表文章

1. Shang, K., Ishibuchi, H., & Ni, X. R2-based Hypervolume Contribution  Approximation[J]. IEEE Transactions on Evolutionary Computation, 2019. (Early access).

2. Ishibuchi, H., Peng, Y., & Shang, K. A Scalable Multimodal Multiobjective Test Problem[C]. CEC, 2019. (First runner-up conference paper award).

3. Ishibuchi, H., He, L., & Shang, K. Regular Pareto Front Shape is not Realistic[C]. CEC, 2019.

4. Shang, K., Ishibuchi, H., Zhang M-L, & Liu, Y. A New R2 Indicator for Better Hypervolume Approximation[C]. GECCO, 2018. (Best paper award).

5. Shang K, Feng Z, Ke L, et al. Comprehensive Pareto Efficiency in robust counterpart optimization[J]. Computers & Chemical Engineering, 2016, 94: 75-91.

6. Shang K, et al. An Event-Driven Based Multiple Scenario Approach for Dynamic and Uncertain UAV Mission Planning[C]. ICSI, 2015.

7. Shang K, Karungaru S, Feng Z, et al. A GA-ACO hybrid algorithm for the multi-UAV mission planning problem[C]. ISCIT, 2014.

8. Shang K, Karungaru S, Feng Z, et al. Periodic re-optimization based dynamic branch and price algorithm for dynamic multi-UAV path planning[C]. IEEE ICMA, 2013.

9. Ke L, Xu Z, Feng Z, Shang K, et al. Proportion-based robust optimization and team orienteering problem with interval data[J]. European Journal of Operational Research, 2013, 226(1): 19-31.

10. Shang K, Feng Z, Ke L. An ant colony algorithm for permutation flow shop problem[C]. WCICA, 2012.

11. Ke L, Shang K, Feng Z. On the Model and Optimization Algorithm for Dynamic Team Orienteering Problem[J]. Journal of Xi'an Jiaotong University, 2011, 6: 002(in chinese).


其他信息