Improved whale optimization-based parameter identification algorithm for dynamic deformation of large ships

Wang, Yanyan; Zhang, Ya; Xu, Dingjie; Miao, Weiqi

doi:10.1016/j.oceaneng.2021.110392

Cited by 10 publications

(2 citation statements)

References 22 publications

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“…In ship deformation measurement, the dynamic deformation parameters of inertia matching methods are severely affected by the environment. On this issue, Wang et al derived a mapping mechanism and an objective function based on the data in the sliding window [5]. On this basis, an improved whale optimization algorithm based on logical mapping was designed for parameter identification.…”

Section: Related Workmentioning

confidence: 99%

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Application of Improved WOA in Hammerstein Parameter Resolution Problems under Advanced Mathematical Theory

Zhao,

Liu,

2024

Journal of Applied Mathematics

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With the development of industrial demand, precise identification of system models is currently required in the field of industrial control, which limits the whale search algorithm. In response to the fact that whale optimization algorithms are prone to falling into local optima and the identification of important Hammerstein models ignores the issue of noise outliers in actual industrial environments, this study improves the whale algorithm and constructs a Hammerstein model identification strategy for nonlinear systems under heavy-tailed noise using the improved whale algorithm. Results showed that it had a lower rank average and an average success rate of 95.65%. It found the global optimum when the number of iterations reached around 150 and had faster convergence speed and accuracy. In identifying Hammerstein model under heavy-tailed noise, the average prediction recognition accuracy of the improved whale algorithm was 92.38%, the determination coefficient was 0.89, the percentage fitting error was 0.03, and the system error was 0.02. This research achievement has certain value in the field of industrial control and can serve as a technical reference.

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Section: Related Workmentioning

confidence: 99%

“…In the field of information technology, the IT outsourcing process is vulnerable to schedule risks, which have the potential to result in significant losses [5]. Using distributed decision-making theory, Lu et al established a dual-layered model.…”

Section: Related Workmentioning

confidence: 99%