My English Homepage: https://yxinliu.github.io/
研究方向
进化计算，生物启发的人工智能，组合优化问题等
教育/访学经历
2016.10-2017.10，新西兰惠灵顿维多利亚大学（访学），进化计算方向
2015.09-2018.06，西南大学（博士），智能计算与复杂系统专业
2012.09-2015.06，西南大学（硕士），软件工程专业
2008.09-2012.06，西南大学（本科），软件工程专业
主持和参加的项目
[1] 上海市扬帆计划，21YF1416700，面向动态弧路径问题的超启发式遗传编程算法研究，2021.05-2024.04，在研，主持
[2] 上海市自然科学基金，车联网信息共享安全关键技术研究，2021.07-2024.06，在研，参加
[3] 上海市软科学研究项目，“陆海空天”一体化的船舶碳排放清单精细化编制方法预研究，2022.03-2023.02，在研，参加
学术论文
[1] 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.
[2] 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)
[3] Y.X. Liu, C. Gao, Z.L. Zhang, Simulating transport networks with a Physarum foraging model, IEEE Access, 2019, 7: 23725-23739.
[4] 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)
[5] 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)
[6] 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)
[7] 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)
[8] 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.
[9] Z.L. Zhang, C. Gao, Y.X. Liu, et al., A universal optimization strategy for ant colony optimization algorithms based on the Physarum-inspired mathematical model, Bioinspiration & Biomimetics, 2014, 9(3): 036006.
[10] Y.X. Liu, C. Gao, Y.H. Wu, et al., A Physarum-inspired multi-agent system to solve maze, The 5th International Conference on Swarm Intelligence (ICSI2014), LNCS 8794, 2014: 424-430.
[11] Y.X. Liu, Y.X. Lu, C. Gao, et al., A multi-objective ant colony optimization algorithm based on the Physarum-inspired mathematical model, The 10th International Conference on Natural Computation (ICNC2014), IEEE, 2014: 304-309.
[12] 张自力, 刘玉欣, 高超, 等, 基于改进多头绒泡菌模型的网络演化研究, 系统仿真学报, 2014, 26(11): 2648-2654.
[13] Y.X. Liu, Z.L. Zhang, C. Gao, et al., A Physarum network evolution model based on IBTM, The 4th International Conference on Swarm Intelligence (ICSI2013), LNCS 7929, 2013: 19-26.
专利
刘玉欣，高超，张自力，基于生物智能的传播源定位方法，2019.01.29，中国，ZL201610727135.7
联系方式
邮箱：liuyx@shmtu.edu.cn
办公室：信工楼405