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Shield attitude prediction and optimization based on CatBoost-NSGA-III algorithm
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Xianguo WU1, Jun LIU1, Yuan CAO1, Yu LEI1, **, Shifan LI1, Yawei QIN1, 2
China Safety Science Journal | 2024, 34(8) : 69 - 77
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China Safety Science Journal | 2024, 34(8): 69-77
• Safety engineering technology •
Shield attitude prediction and optimization based on CatBoost-NSGA-III algorithm
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Xianguo WU1, Jun LIU1, Yuan CAO1, Yu LEI1, **, Shifan LI1, Yawei QIN1, 2
Affiliations
  • 1 School of Civil and Hydraulic Engineering，Huazhong University of Science and Technology，Wuhan Hubei 430074，China
  • 2 Wuhan Huazhong University of Science and Technology Test Technology Co.，Ltd.，Wuhan Hubei 430074，China
Published: 2024-08-28 doi: 10.16265/j.cnki.issn1003-3033.2024.08.1360
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To solve the problems such as forward tilt deformation，serpentine shape，axis deviation and correction during shield tunneling，which affected the safety and efficiency of shield construction，a multi-objective optimization method of shield attitude combining CatBoost and NSGA-Ⅲ was proposed. Taking Guiyang Metro as the background，22 influencing factors were selected as input parameters，and the nonlinear mapping function relationship between input parameters and shield attitude was established by using CatBoost algorithm. The importance of input parameters was evaluated by random forest (RF) algorithm. A CatBoost-NSGA-Ⅲ multi-objective optimization model was established to minimize the absolute value of the shield attitude，and the applicability and effectiveness of the proposed method were verified by a case study. The results show that the prediction model obtained by using CatBoost algorithm to train engineering measured data has high accuracy，and the R2 range of 5 shield attitude targets is 0.916-0.943. By using the CatBoost-NSGA-Ⅲ multi-objective optimization method，the attitude of the shield can be optimized significantly，and the average value of the overall improvement is 53.34%.

categorical boosting (CatBoost)  /  non-dominated sorting genetic algorithm-Ⅲ (NSGA-Ⅲ)  /  shield attitude  /  multi-objective optimization  /  importance ranking
Xianguo WU, Jun LIU, Yuan CAO, Yu LEI, Shifan LI, Yawei QIN. Shield attitude prediction and optimization based on CatBoost-NSGA-III algorithm[J]. China Safety Science Journal, 2024 , 34 (8) : 69 -77 . DOI: 10.16265/j.cnki.issn1003-3033.2024.08.1360
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Year 2024 volume 34 Issue 8
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.08.1360
  • Receive Date：2024-02-21
  • Online Date：2025-07-09
  • Published：2024-08-28
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  • Received：2024-02-21
  • Revised：2024-05-28
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Affiliations
    1 School of Civil and Hydraulic Engineering，Huazhong University of Science and Technology，Wuhan Hubei 430074，China
    2 Wuhan Huazhong University of Science and Technology Test Technology Co.，Ltd.，Wuhan Hubei 430074，China
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表12种不同金属材料的力学参数
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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