Researching | Ship parameter identification method based on improved wild horse optimizer

Chinese Journal of Ship Research, Volume. 20, Issue 1, 85(2025)

Ship parameter identification method based on improved wild horse optimizer

Zhigang QI, Hao ZHANG, Bing LI, and Zhe LU

Author Affiliations

College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China

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References(8)

[3] X R HOU, X Y ZHOU. Nonparametric identification model of coupled heave–pitch motion for ships by using the measured responses at Sea. Journal of Marine Science and Engineering, 11, 676(2023).

[5] M ZHU, A HAHN, Y Q WEN et al. Optimized support vector regression algorithm-based modeling of ship dynamics. Applied Ocean Research, 90, 101842(2019).

[7] H B LIANG, J L ZOU, K ZUO et al. An improved genetic algorithm optimization fuzzy controller applied to the wellhead back pressure control system. Mechanical Systems and Signal Processing, 142, 106708(2020).

[9] Y B ZHU, T LI, X L LAN. Feature selection optimized by the artificial immune algorithm based on genome shuffling and conditional lethal mutation. Applied Intelligence, 53, 13972-13992(2023).

[13] I NARUEI, F KEYNIA. Wild horse optimizer: a new meta-heuristic algorithm for solving engineering optimization problems. Engineering with Computers, 38, 3025-3056(2022).

[14] R ZHENG, A G HUSSIEN, H M JIA et al. An improved wild horse optimizer for solving optimization problems. Mathematics, 10, 1311(2022).

[15] N UMEDA, H HASHIMOTO. Qualitative aspects of nonlinear ship motions in following and quartering seas with high forward velocity. Journal of Marine Science and Technology, 6, 111-121(2002).

[17] S MOSTAFA, Y Z ELHALWAGY, M A H ABOZIED et al. Control system design for steering and depth subsystems of autonomous underwater vehicle. Journal of Physics: Conference Series, 1721, 012031(2021).

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Zhigang QI, Hao ZHANG, Bing LI, Zhe LU. Ship parameter identification method based on improved wild horse optimizer[J]. Chinese Journal of Ship Research, 2025, 20(1): 85

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Paper Information

Category: Maneuverability Forecast

Received: Mar. 11, 2024

Accepted: --

Published Online: Mar. 13, 2025

The Author Email:

DOI:10.19693/j.issn.1673-3185.03818

Topics

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