Dawei Zhan

I am an Associate professor in School of Computing and Artifial Intelligence, Southwest Jiaotong University. I received the B.S. degree and Ph.D. degree from the Huazhong University of Science and Technology in 2012 and 2018 respectively. My current research interests include Bayesian optimization, evolutionary computing, multiobjective optimization and surrogate-based optimziation. Also see my ResearchGate、GitHub、and Google Scholar。

1. Mei Li, Dawei Zhan. Pointwise Expected Hypervolume Improvement for Expensive Multi-Objective Optimization. Journal of Global Optimization, 2024, DOI: https://doi.org/10.1007/s10898-024-01436-7. (MATLAB code)

2. Mei Li, Dawei Zhan. A Fast Hypervolume Contribution Strategy for Evolutionary Multi-Objective Optimization. The International Conference on Data-driven Optimization of Complex Systems, 2024.

3. Ling Jin, Dawei Zhan. Roulette Wheel Variable Selection for High Dimensional Bayesian Optimization. The International Conference on Data-driven Optimization of Complex Systems, 2024. (MATLAB code)

4. Zhiyuan Miao, Dawei Zhan. High-dimensional Bayesian Optimization Using Greedy Variable Selection Strategy. International Conference on Data-driven Optimization of Complex Systems, 2024. (MATLAB code)

5. Dawei Zhan. Expected Coordinate Improvement for High-Dimensional Bayesian Optimization. Swarm and Evolutionary Computation. 2024, 91, 101745. (MATLAB code)  

6. Yuqian Gui, Dawei Zhan, Tianrui Li. Taking Another Step: A Simple Approach to High-Dimensional Bayesian Optimization. Information Sciences, 2024, 679: 121056. (MATLAB code)

7. Dawei Zhan, Jintao Wu, Huanlai Xing, Tianrui Li. A Cooperative Approach to Efficient Global Optimization. Journal of Global Optimization, 2024, 88(2): 327-357. (MATLAB code)

8. Dawei Zhan, Yuqian Gui, Tianrui Li. An Anisotropic Expected Improvement Criterion for Kriging-Assisted Evolutionary Computation. IEEE Congress on Evolutionary Computation, 2023. (MATLAB code)

9. Yuqian Gui, Dawei Zhan, Tianrui Li. An Exploitation-Enhanced Bayesian Optimization Algorithm for High-Dimensional Expensive Problems. International Conference on Artificial Neural Networks, 2023.

10. Dawei Zhan, Yun Meng, Huanlai Xing. A Fast Multipoint Expected Improvement for Parallel Expensive Optimization. IEEE Transactions on Evolutionary Computation, 2023, 27(1): 170-184. (MATLAB code)

11. Dawei Zhan, Huanlai Xing.  A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning. IEEE Transactions on Evolutionary Computation, 2021, 25(5): 941-955. ( MATLAB code)

12. Dawei Zhan, Huanlai Xing. A Population Prescreening Strategy for Kriging-Assisted Evolutionary Computation. IEEE Congress on Evolutionary Computation, 2021. (MATLAB code)

13. Dawei Zhan, Huanlai Xing. Expected Improvement for Expensive Optimization: A Review. Journal of Global Optimization. 2020, 78(3): 507-544.

14. Dawei Zhan, Yuansheng Cheng, Jun Liu. Expected Improvement Matrix-based Infill Criteria for Expensive Multiobjective Optimization.IEEE Transactions on Evolutionary Computation, 2017, 21(6): 956-975. (MATLAB code)

15. Dawei Zhan, Jiachang Qian, Yuansheng Cheng. Pseudo Expected Improvement Criterion for Parallel EGO Algorithm. Journal of Global Optimization. 2017, 68(3): 641-662. (MATLAB code)

16. Dawei Zhan, Jiachang Qian, Yuansheng Cheng. Balancing Global and Local Search in Parallel Efficient Global Optimization Algorithms. Journal of Global Optimization. 2017, 67(4): 873-892.

17. Dawei Zhan, Jiachang Qian, Jun Liu, Yuansheng Cheng. Pseudo Expected Improvement Matrix Criteria for Parallel Expensive Multi-objective Optimization, World Congress of Structural and Multidisciplinary Optimisation, 2017. (MATLAB code)