研究方向进化算法，生物启发的人工智能，组合优化问题求解等
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
学术论文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. (Accepted, 13 Apr. 2019, https://doi.org/10.1162/evco_a_00256)
Y.X. Liu, C. Gao, Z.L. Zhang, Simulating transport networks with a Physarum foraging model, IEEE Access, 2019, 7: 23725-23739.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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，ZL5.7
联系方式邮箱：liuyx@shmtu.edu.cn
办公室：信工楼209