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 |
