学术成果 |
1. 学术论文 [1] Zhaolu Guo*, Wensheng Zhang, Shenwen Wang. Improved gravitational search algorithm based on chaotic local search, International Journal of Bio-Inspired Computation, 17(3):154-164, 2021 (SCI: 000649186100003收录) [2] Zhaolu Guo*, Huogen Yang, Shenwen Wang, Caiying Zhou, Xiaosheng Liu. Adaptive Harmony Search with Best-based Search Strategy, Soft Computing, 22(4):1335-1349, 2018 (SCI: 000426566200021收录, CCF推荐C类期刊) [3] Zhaolu Guo*, Shenwen Wang, Xuezhi Yue, Huogen Yang. Global harmony search with generalized opposition-based learning, Soft Computing, 21(8):2129-2137, 2017 (SCI:000399171800015收录, CCF推荐C类期刊) [4] Zhaolu Guo*, Gang Liu, Dahai Li, Shenwen Wang. Self-adaptive differential evolution with global neighborhood search, Soft Computing, 21(13):3759-3768, 2017 (SCI: 000403472700021收录, CCF推荐C类期刊) [5] Zhaolu Guo*, Xuezhi Yue, Huogen Yang, Kun Liu, Xiaosheng Liu. Enhancing social emotional optimization algorithm using local search, Soft Computing, 21(24):7393-7404, 2017 (SCI:000414961100011收录, CCF推荐C类期刊) [6] Zhaolu Guo*, Xuezhi Yue, Kejun Zhang, Shenwen Wang, Zhijian Wu. A Thermodynamical Selection-Based Discrete Differential Evolution for the 0-1 Knapsack Problem, Entropy, 16(12):6263-6285, 2014 (SCI: 000346798600005 收录) [7] Zhaolu Guo*, Jing Peng, Baoyong Yin, Shenwen Wang, Xuezhi Yue, Xiaosheng Liu. An enhanced gravitational search algorithm for node deployment in wireless sensor networks, International Journal of Wireless and Mobile Computing, 17(1):36-42, 2019 (EI: 20193107243373收录) [8] Zhaolu Guo*, Shenwen Wang, Baoyong Yin, Songhua Liu, Xiaosheng Liu. A hybrid harmony search algorithm for node localisation in wireless sensor networks, International Journal of Wireless and Mobile Computing, 14(4): 369-377, 2018 (EI: 20183305701544收录) [9] Zhaolu Guo*, Huogen Yang, Songhua Liu, Xiaosheng Liu. Gravitational Search Algorithm with Gaussian Mutation Strategy, International Journal of Wireless and Mobile Computing, 12(2):191-197, 2017 (EI: 20172203709777 收录) [10] 熊小峰, 刘啸婵, 郭肇禄*, 张文生. 基于组合三角变异差分进化算法的化工参数辨识, 华中科技大学学报(自然科学版), 48(9):12-18, 2020
2. 发明专利 [1] 郭肇禄, 杨火根, 刘小生, 岳雪芝, 刘松华, 邹玮刚, 周才英. 高斯人工蜂群优化的稀土矿区地下水氨氮浓度预测方法, 中国发明专利, 专利号: ZL201610486213.9 [2] 郭肇禄, 王洋, 王丹, 周才英, 岳雪芝, 余法红, 吴志健. 基于组合个体差分演化的机器人路径规划方法, 中国发明专利, 专利号: ZL201611201644.2 [3] 郭肇禄, 李大海, 王洋, 杨火根, 刘小生, 余法红, 李康顺. 基于均值和声搜索的机器人巡检路径规划方法, 中国发明专利, 专利号: ZL201710553903.6 [4] 郭肇禄, 王洋, 岳雪芝, 刘小生, 周才英, 余法红, 李康顺. 基于组合反向粒子群优化的机器人巡检路径规划方法, 中国发明专利, 专利号: ZL201710162424.1 [5] 郭肇禄, 尹宝勇, 张文生. 应用适应性精英导向搜索的焊接机器人路径规划方法. 中国发明专利, 专利号: ZL201810080187.9 [6] 郭肇禄, 尹宝勇, 岳雪芝. 基于正弦启发式搜索的图像配准方法. 中国发明专利, 专利号: ZL201810080182.6 [7] 向传娇(本人研究生), 郭肇禄, 尹宝勇, 周才英, 张文生. 基于适应性差分演化的图像边缘检测方法,中国发明专利, 专利号: ZL202011259569.1 [8] 彭静(本人研究生), 郭肇禄, 李群芳, 石涛, 张文生. 基于优化最小二乘支持向量机的电力负荷预测方法. 中国发明专利, 专利号: ZL202010668750.1
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