研究领域

目前主要从事演化计算与符号回归、知识图谱与智能问答，以及轨迹分析与挖掘等方面的研究工作

Publications

[1] Lu Q, Zhou S, Tao F, Luo J, Wang ZG, Enhancing Gene Expression Programming based on Space Partition and Jump for Symbolic Regression, Information Sciences, https://doi.org/10.1016/j.ins.2020.08.061，2020（中科院1区，Top期刊，CCF B类）


[2] 鲁强，张洋，基于蒙特卡洛树搜索的符号回归算法，计算机工程与设计，2020, 41(08): 2158-2164.


[3] Lu Q, Zhou S, Tao F, et al. Space partition based gene expression programming for symbolic regression, GECCO 2019. ACM, 2019: 348-349.（CCF C类会议）


[4] Lu Q, Ren J, Wang Z. Using genetic programming with prior formula knowledge to solve symbolic regression problem. Computational intelligence and neuroscience, 2016. (中科院3区)


[5] 鲁强, 周新. 基于在线检测动态一维下料问题的 GPU 并行蚁群算法. 仪器仪表学报, 2015, 36(8): 1774-1782. (EI Index)


[6] 鲁强,钟伟,王智广.基于图的分布式并行基因编程模型.计算机应用, 2013, 33(05):1260-1266.


[7] Lu Q, Wang Z, Chen M. An ant colony optimization algorithm for the one-dimensional cutting stock problem with multiple stock lengths, 2008 Fourth International Conference on Natural Computation. IEEE, 2008, 7: 475-479. (EI index)


[8] Chen M, Lu Q. A hybrid model based on genetic algorithm and ant colony algorithm,Journal of Information & Computational Science,2005, 2: 647-653. (EI index)


[9] 鲁强, 陈明. 平面布局的蚁群算法. 计算机应用, 2005, 25(5): 1019-1021.