• Laser & Optoelectronics Progress
  • Vol. 57, Issue 12, 122801 (2020)
Xiaoyu Fang, Xiaobin Li*, and Zhen Guo
Author Affiliations
  • School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai 201418, China
  • show less
    DOI: 10.3788/LOP57.122801 Cite this Article Set citation alerts
    Xiaoyu Fang, Xiaobin Li, Zhen Guo. Improved Hybrid Grey Wolf Optimization Support Vector Machine Prediction Algorithm and Its Application[J]. Laser & Optoelectronics Progress, 2020, 57(12): 122801 Copy Citation Text show less
    References

    [1] Mirjalili S, Mirjalili S M, Lewis A. Greywolf optimizer[J]. Advances in Engineering Software, 69, 46-61(2014).

    [2] Wei Y, Liu DY et al. An improved grey wolf optimization strategy enhanced SVM and its application in predicting the second major[J]. Mathematical Problems in Engineering, 2017, 1-12(2017).

    [3] Long W, Wu T B. Improved grey wolf optimization algorithm coordinating the ability of exploration and exploitation[J]. Control and Decision, 32, 1749-1757(2017).

    [4] Xu S J, Long W. Improved grey wolf optimization algorithm embedded with genetic operators[J]. Journal of Lanzhou University of Technology, 42, 102-108(2016).

    [5] Zhang J K, Cui L J, Guo Q et al. Grey wolf optimizer based on tent chaotic sequence[J]. Microelectronics & Computer, 35, 11-16(2018).

    [6] Rodríguez L, Castillo O, Soria J. Grey wolf optimizer with dynamic adaptation of parameters using fuzzy logic. [C]//2016 IEEE Congress on Evolutionary Computation, July 24-29, 2016. Vancouver, BC, Canada. New York: IEEE, 3116-3123(2016).

    [7] Rodríguez L, Castillo O, Soria J et al. A fuzzy hierarchical operator in the grey wolf optimizer algorithm[J]. Applied Soft Computing, 57, 315-328(2017).

    [8] Deng S H, Wang X L, Zhu Y S et al. Hybrid grey wolf optimization algorithm-based support vector machine for grout ability prediction of fractured rock mass[J]. Journal of Computing in Civil Engineering, 33, 04018065(2019).

    [9] Zhang X M, Tu Q, Kang Q et al. Hybrid optimization algorithm based on grey wolf optimization and differential evolution for function optimization[J]. Computer Science, 44, 93-98, 124(2017).

    [10] Yuan Y C, Yang Z, Luo T X et al. Multi-population-based competitive differential evolution algorithm for dynamic optimization problem[J]. Journal of Computer Applications, 38, 1254-1260(2018).

    [11] Bi X J, Wang J H. Teaching-learning-based optimization algorithm with hybrid learning strategy[J]. Journal of Zhejiang University(Engineering Science), 51, 1024-1031(2017).

    [12] Long W, Cai S H, Jiao J J et al. Hybrid grey wolf optimization algorithm for high-dimensional optimization[J]. Control and Decision, 31, 1991-1997(2016).

    [13] Mo Y H, Nie H, Liu Z B et al. Grey wolf optimization algorithm based on levy flight[J]. Microelectronics & Computer, 36, 78-83(2019).

    [14] Yang Z J. Bankruptcy prediction based on support vector machine optimized by particle swarm optimization and genetic algorithm[J]. Computer Engineering and Applications, 49, 265-270(2013).

    [15] Qian Q S, Hu Y H, Zhao N X et al. Target tracking algorithm based on global feature matching processing of laser point cloud[J]. Laser & Optoelectronics Progress, 57, 061012(2020).

    [16] Chen X Y, Yun T, Xue L F et al. Classification of tree species based on LiDAR point cloud data[J]. Laser & Optoelectronics Progress, 56, 122801(2019).

    [17] Lu X Y, Yun T, Xue L F et al. Effective feature extraction and identification method based on tree laser point cloud[J]. Chinese Journal of Lasers, 46, 0510002(2019).

    [18] Tong Y, Xia M, Yang K C et al. Target reflection feature extraction based on LiDAR intensity value[J]. Laser & Optoelectronics Progress, 55, 102802(2018).

    Xiaoyu Fang, Xiaobin Li, Zhen Guo. Improved Hybrid Grey Wolf Optimization Support Vector Machine Prediction Algorithm and Its Application[J]. Laser & Optoelectronics Progress, 2020, 57(12): 122801
    Download Citation