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  He is currently a PhD student at Guangdong University of Technology, focusing on research in evolutionary algorithms, evolutionary multitasking, and vehicle routing problems.

  He is very open to collaborating with potential partners to explore interesting real-world problems.

* Our code is written using open-source tools such as GNU/Octave. 2024-04

* Currently, he is dedicated to researching the use of GNU Octave tool and the writing of basic libraries. He welcomes collaboration with researchers who are passionate about this subject. 2024-04

* Cai Y, Wu Y, Fang C. TSEMTA: A tripartite shared evolutionary multi-task algorithm for optimizing many-task vehicle routing problems[J]. Engineering Applications of Artificial Intelligence, 2024, 133: 108179. paper code password(xliajt8oeMGVo3sb)

* Cai Y, Wu Y, Fang C. Double-assistant evolutionary multitasking algorithm for enhanced electric vehicle routing with backup batteries and battery swapping stations[J]. Expert Systems with Applications, 2024, 237: 121600. paper code password(vzvusSainPHHyutO)

* Zhou X, Wu Y, Peng H, et al. Differential Evolution Algorithm with Dual Information Guidance[J]. International Journal on Artificial Intelligence Tools, 2023, 32(5). paper

* Wu Y, Cai Y, Fang C. Evolutionary multitasking for bidirectional adaptive codec: A case study on vehicle routing problem with time windows[J]. Applied Soft Computing, 2023, 145: 110605. paper

* Zhou X, Wu Y, Wu S, et al. Accelerating artificial bee colony algorithm using elite information[J]. International Journal of Innovative Computing and Applications, 2022, 13(5-6): 325-335. paper

* Zhou X, Wu Y, Zhong M, et al. Artificial bee colony algorithm based on adaptive neighborhood topologies[J]. Information Sciences, 2022, 610: 1078-1101. paper

* Zhou X, Wu Y, Peng H, et al. An individual-dependent differential evolution with dual information guidance[C]//2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2021: 1170-1177. paper

* Zhou X, Wu Y, Zhong M, et al. Artificial bee colony algorithm based on multiple neighborhood topologies[J]. Applied Soft Computing, 2021, 111: 107697. paper