刘玉欣


一、基础信息

个人简介:刘玉欣,汉族,山东聊城人,中共党员,博士,讲师,硕士生导师。主要研究方向包括但不限于机器学习、演化计算及其在路径优化、图像分类等领域的应用。入选上海市科技创新行动计划扬帆计划,以第一作者在Evolutionary ComputationIEEE/ACM Transactions on Computational Biology and Bioinformatics等学术期刊发表论文。主讲本科生课程:数据结构,海洋物联网技术,大学信息技术基础。

(一)个人基础信息

性别:女

出生年月:199009

职务:讲师

博硕导:硕士生导师

电子邮箱:liuyx@shmtu.edu.cn

(二)教育经历

于西南大学智能计算与复杂系统专业,取得博士学位

于西南大学软件工程专业,取得硕士学位

于西南大学软件工程专业、英语专业(辅修),取得学士学位

(三)国际交流与合作经历

曾于2016.10-2017.10前往惠灵顿维多利亚大学(Victoria University of Wellington),任访问学者

二、科学研究

(一)研究领域

自动机器学习;演化计算;组合优化

(二)科研项目

面向动态弧路径问题的超启发式遗传编程算法研究,上海市扬帆计划,2021-2024,主持

(三)代表性论文成果

[1] Y.X. Liu, Z.H. Qin, J. Liu, An improved genetic algorithm for the granularity-based split vehicle routing problem with simultaneous delivery and pickup, Mathematics, 2023, 11(15): 3328.

[2] Y.X. Liu, J.X. Wang, J.J. Zhao, X.H, Li, Route stability in the uncertain capacitated arc routing problem, Frontiers in Energy Research, 2022, 10: 933705.

[3] Y.X. Liu, S.X. Wang, X.H. Li, A new cooperative recourse strategy for emergency material allocation in uncertain environments, Frontiers in Physics, 2022, 10: 835412.

[4] Y.X. Liu, Y. Mei, M.J. Zhang, Z.L. Zhang, A predictive-reactive approach with genetic programming and cooperative co-evolution for uncertain capacitated arc routing problem, Evolutionary Computation, 2020, 28(2): 289-316. (CCF-B期刊)

[5] Y.X. Liu, C. Gao, Z.L. Zhang, Simulating transport networks with a Physarum foraging model, IEEE Access, 2019, 7: 23725-23739.

[6] Y.X. Liu, C. Gao, Z.L. Zhang, et al., Solving NP-hard problems with Physarum-based ant colony system, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017, 14(1): 108-120. (CCF-B期刊)

[7] Y.X. Liu, C. Gao, Z.L. Zhang, et al., A new multi-agent system to simulate the foraging behaviors of Physarum, Natural Computing, 2017, 16(1): 15-29. (CCF-C期刊)

[8] Y.X. Liu, Y. Mei, M.J. Zhang, Z.L. Zhang, Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem, The Genetic and Evolutionary Computation Conference (GECCO2017), ACM, 2017: 290-297. (CCF-C会议)

[9] Y.X. Liu, C. Gao, X.Y. She, et al., A bio-inspired method for locating the diffusion source with limited observers, The IEEE Congress on Evolutionary Computation (IEEE CEC2016), IEEE, 2016: 508-514. (IEEE计算智能学会旗舰会议)

[10] Y.X. Liu, C. Gao, M.X. Liang, et al., A Physarum-inspired vacant particle model with shrinkage for transport network design, The 6th International Conference on Swarm Intelligence (ICSI2015), LNCS 9140, 2015: 74-81.

(四)代表性专利成果

2019129日,基于生物智能的传播源定位方法。授权号:ZL201610727135.7,获国家发明专利(第一发明人)

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