Improved Hybrid Grey Wolf Optimization Support Vector Machine Prediction Algorithm and Its Application

Xiaoyu Fang; Xiaobin Li; Zhen Guo

doi:10.3788/LOP57.122801

Laser & Optoelectronics Progress, Volume. 57, Issue 12, 122801(2020)

Improved Hybrid Grey Wolf Optimization Support Vector Machine Prediction Algorithm and Its Application

Xiaoyu Fang, Xiaobin Li^*, and Zhen Guo

Author Affiliations

School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai 201418, China

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Abstract Get PDF(in Chinese)

Figures & Tables(5)

Fig. 1. Hierarchical structure of the gray wolf group

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Fig. 2. Scanning scene. (a) Pedestrian; (b) bicycle; (c) battery car; (d) electric tricycle; (e) four-wheel vehicle

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Fig. 3. Prediction graph of motion trajectory. (a) Pedestrian; (b) bicycle; (c) battery car; (d) electric tricycle; (e) four-wheel vehicle

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Table 1. Run time of the improved algorithmunit: s

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Table 1. Run time of the improved algorithmunit: s

Number	DEGWO-SVM	Improvedmutationoperator	Improvedcrossoverfactor	Improvedmutationstrategy	Improvedlevy flight	HGWO-SVM
Group1	49.021701	43.253558	46.732346	47.625673	41.143532	39.083659
Group2	48.954682	44.024647	47.923113	46.253631	42.253612	40.138830
Group3	48.487896	43.638574	46.743213	46.132435	42.412663	39.990193
Group4	50.368133	42.354325	46.931367	47.721573	41.315262	40.358665
Group5	51.155398	44.356235	47.622442	48.256367	42.043422	41.315698

Table 2. Relative error of the position prediction of moving targetunit: %
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Table 2. Relative error of the position prediction of moving targetunit: %
Number DEGWO-SVM HGWO-SVM
Group1 26.12 21.91
Group2 22.11 17.97
Group3 37.46 29.55
Group4 19.30 17.27
Group5 119.36 95.83

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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

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