尚可

Ke Shang (尚可)

I am a Research Assistant Professor at Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech). 
I mainly focus on evolutionary multi-objective optimization. 

Email: kshang@foxmail.com or shangk@sustech.edu.cn

Office: Room 913, Nanshan i-Park building A7, Xueyuan Road, Nanshan, Shenzhen, China

News

 

7/28/2020

Our paper “A Survey on the Hypervolume Indicator in Evolutionary Multi-objective Optimization” has been accepted to TEVC!

7/24/2020

Personal webpage launched!

 

Publications

Journal papers

 

1.    Shang K., Ishibuchi H., He L., and Pang L. “A Survey on the Hypervolume Indicator in Evolutionary Multi-objective Optimization.” IEEE Transactions on Evolutionary Computation (2020).

2.    Shang K., and Ishibuchi H. "A New Hypervolume-based Evolutionary Algorithm for Many-objective Optimization." IEEE Transactions on Evolutionary Computation (2020).

3.    Shang K., Ishibuchi H., and Ni X. "R2-based Hypervolume Contribution Approximation." IEEE Transactions on Evolutionary Computation (2020).

4.    Nan Y., Shang K., Ishibuchi H. “Reverse Strategy for Non-dominated Archiving.” IEEE Access (2020).

5.    He L., Shang K., and Ishibuchi H. "Simultaneous Use of Two Normalization Methods in Decomposition-based Multi-objective Evolutionary Algorithms." Applied Soft Computing (2020).

6.    Shang K., Feng Z., Ke L., and Chan F. T. "Comprehensive Pareto Efficiency in robust counterpart optimization." Computers & Chemical Engineering (2016).

7.    Ke L., Xu Z., Feng Z., Shang K., Qian X. “Proportion-based robust optimization and team orienteering problem with interval data.” European Journal of Operational Research (2013).

8.    Ke L., Shang K., Feng Z. “On the Model and Optimization Algorithm for Dynamic Team Orienteering Problem.” Journal of Xi'an Jiaotong University (2011). (In Chinese).

 

Conference papers

 

1.    Shang K., Ishibuchi H., Chen W., and Adam L. "Hypervolume optimal mu-distributions on line-based Pareto fronts in three dimensions." Parallel Problem Solving from Nature. (PPSN2020).

2.    Chen W., Ishibuchi H., and Shang K. “Proposal of a realistic many-objective test suite.” Parallel Problem Sovling from Nature. (PPSN2020). (Best Paper Nomination)

3.    Nan Y.#, Shang K.#, and Ishibuchi H. "What is a Good Direction Vector Set for the R2-based Hypervolume Contribution Approximation." Proceedings of the Genetic and Evolutionary Computation Conference. (GECCO2020). #Equal Contribution

4.    Ishibuchi H., Pang L., and Shang K. "A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive." The 24th European Conference on Artificial Intelligence (ECAI2020).

5.    Liao W., Shang K., Pang L., and Ishibuchi H. "Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA." IEEE Symposium Series on Computational Intelligence (SSCI2019).

6.    Ishibuchi H., Peng Y., and Shang K. "A Scalable Multimodal Multiobjective Test Problem." IEEE Congress on Evolutionary Computation (CEC2019). First Runner-up Conference Paper Award

7.    Ishibuchi H., He L., and Shang K. "Regular Pareto Front Shape is not Realistic." IEEE Congress on Evolutionary Computation (CEC2019).

8.    Shang K., Ishibuchi H., Zhang M. L., and Liu Y. "A new R2 indicator for better hypervolume approximation." Proceedings of the Genetic and Evolutionary Computation Conference. (GECCO2018). Best Paper Award

9.    Shang K., et al. “An Event-Driven Based Multiple Scenario Approach for Dynamic and Uncertain UAV Mission Planning.” International Conference on Swarm Intelligence (ICSI2015).

10.  Shang K., Karungaru S., Feng Z., et al. “A GA-ACO hybrid algorithm for the multi-UAV mission planning problem.” International Symposium on Communications and Information Technologies (ISCIT2014).

11.  Shang K., Karungaru S., Feng Z., et al. “Periodic re-optimization based dynamic branch and price algorithm for dynamic multi-UAV path planning.” IEEE International Conference on Mechatronics and Automation (ICMA2013).

12.  Shang K., Feng Z., Ke L. “An ant colony algorithm for permutation flow shop problem.” World Congress on Intelligent Control and Automation (WCICA2012).

 

 

 

 

Awards

 

2020

PPSN Best Paper Nomination (Weiyu Chen, Hisao Ishibuchi, Ke Shang)

2019

CEC First Runner-up Conference Paper Award (Hisao Ishibuchi, Yiming Peng, Ke Shang)

2018

GECCO Best Paper Award (Ke Shang, Hisao Ishibuchi, Min-Ling Zhang, Yiping Liu)

 

 

 

Last updated: 7/28/2020