Abstract
Ship maneuverability, in the field of ship engineering, is often predicted by maneuvering motion group (MMG) mathematical model. Then it is necessary to determine hydrodynamic coefficients and interaction force coefficients of the model. Based on the data of free running model test, the problem for obtaining these coefficients is called inverse one. For the inverse problem, ill-posedness is inherent, nonlinearity and great computation happen, and the computation is also insensitive, unstable and time-consuming. In the paper, a regularization method is introduced to solve ill-posed problem and genetic algorithm is used for nonlinear motion of ship maneuvering. In addition, the immunity is applied to solve the prematurity, to promote the global searching ability and to increase the converging speed. The combination of regularization method and immune genetic algorithm(RIGA) applied in MMG mathematical model, showed rapid converging speed and good stability.
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Liu, Xj., Huang, Gl. & Deng, Dh. Regularization method and immune genetic algorithm for inverse problems of ship maneuvering. J. Shanghai Jiaotong Univ. (Sci.) 14, 467–470 (2009). https://doi.org/10.1007/s12204-009-0467-7
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DOI: https://doi.org/10.1007/s12204-009-0467-7