Hi there 👋

ZhiweiXu(许志伟)

I am currently a lecturer at the School of Computer Science and Technology, Wuhan University of Science and Technology, China. I am a member of the Institute of Electrical and Electronics Engineers (IEEE), China Computer Federation (CCF), Association for Computing Machinery (ACM), Chinese Association for Artificial Intelligence (CAAI), Chinese Association of Automation (CAA), Chinese Institute of Electronics (CIE) IEEE Systems, Man, and Cybernetics Society (IEEE-SMC), IEEE Computational Intelligence Society (IEEE-CIS), and ACM Special Interest Group on Genetic and Evolutionary Computation (ACM-SIGEVO). Recognized as a high-quality content creator and blogging expert in the field of artificial intelligence on CSDN, I have actively contributed to the academic community.

I was awarded the National Scholarship for Master's students in 2019 and the National Scholarship for Doctoral students in 2021 and 2022 by the Ministry of Education of China. Recently, I have achieved significant advancements and breakthroughs in multi-task multi-objective optimization, constrained multi-objective optimization, and high-dimensional multi-objective optimization.

I have participated in two projects funded by the National Natural Science Foundation of China and led a youth project funded by the Provincial Natural Science Foundation. I hold three granted patents. My research findings have been published in top-tier international journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Information Sciences, Science China: Information Sciences, and Applied Soft Computing.

I was recognized as an Excellent Graduate Student at the Annual Meeting and Academic Seminar of the Wuhan Computer Software Engineering Society in both 2021 and 2022, and won the First Prize at the 2021 CCF Wuhan Excellent Doctoral Student Academic Showcase Forum. I serve as a reviewer for leading international journals including IEEE Transactions on Evolutionary Computation, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Information Sciences, and Applied Soft Computing. Additionally, I am a reviewer for international conferences such as the IEEE Congress on Evolutionary Computation (CEC), IEEE Symposium Series on Computational Intelligence (SSCI), and the International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA).

My research interests include:

• Evolutionary Computation
• Multi-objective Optimization (many-objective, constrained, multi-task, large-scale, etc.)
• DNA Computing, Encoding, and Self-Assembly
• RNA Structure Prediction
• Multi-objective Path Planning

📎 Homepages

• Personal Pages: https://JaywayXu.github.io (updated recently🔥)
• 中文站点：https://JaywayXu.github.io/zh-cn/ （如果您是国内的学者，想要更多了解我们课题组的动态）
• Google Scholar: https://scholar.google.com/citations?user=_Lkioz8AAAAJ&hl
• Researchgate: https://www.researchgate.net/profile/Zhiwei-Xu-16
• 微信公众号： 演化计算与人工智能

- CSDN: 武科大许志伟 : https://xuzhiwei.blog.csdn.net/
- Email: [email protected]

💻 Selected Research Papers

My full paper list is shown at my personal homepage or 中文主站.

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• Kai Zhang, Zhiwei Xu(许志伟), Shengli Xie, and Gary G. Yen*. Evolution Strategy-Based Many-Objective Evolutionary Algorithm Through Vector Equilibrium. IEEE Transactions on Cybernetics , vol. 51, no. 11, pp. 5455–5467, Nov. 2021. (JCR:Q1; IF:11.8)
  [Link] [Download][Code]

• Kai Zhang, Zhiwei Xu(许志伟), Gary G. Yen*, Ling Zhang. Two-Stage Multi-Objective Evolution Strategy for Constrained Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation , vol. 28, no. 1, pp. 17–31, Feb. 2024 (JCR:Q1; IF:14.3)
  [Link] [Download][Code]

• Zhiwei Xu (许志伟), Xiaoming Liu, Kai Zhang*, and Juanjuan He. Cultural transmission based multi-objective evolution strategy for evolutionary multitasking. Information Sciences , vol. 582, pp. 215–242, Jan. 2022. (JCR:Q1; IF：8.1)
  [Link] [Download][Code]

• Zhiwei Xu (许志伟), Kai Zhang, Juanjuan He*, and Xiaoming Liu. A novel membrane-inspired evolutionary framework for multi-objective multi-task optimization problems. Information Sciences , vol. 596, pp. 236–263, Jun. 2022. (JCR:Q1; IF：8.1)
  [Link] [Download]

• Zhiwei Xu (许志伟) and Kai Zhang*. Multiobjective multifactorial immune algorithm for multiobjective multitask optimization problems. Applied Soft Computing , vol. 107, p. 107399, Aug. 2021. (JCR:Q1; IF：8.7)
  [Link] [Download]

• Zhiwei Xu (许志伟)*, Jia feng Xu, Kai Zhang, Xin Xu, Juanjuan He, Ni Wu, Decision Variable Classification based Multi-objective Multifactorial Memetic Algorithm for Multi-objective Multi-task Optimization Problem. Applied Soft Computing , vol. 152, p. 111232, Feb. 2024. (JCR:Q1; IF：8.7)
  [Link] [Download]