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- W4386412819 abstract "This study determines the design parameters, analysis methods, and mesh size of a finite-element analysis model in the structural design of a rotary docking skirt (RDS) structure for an underwater vehicle. The impact of the structural design variables on the response is then studied. The sample points determined using the optimal Latin hypercube method are analyzed and fitted with the Kriging model, response surface model, and radial basis function. After comparing the fitting accuracies of the three approximation models, an approximation model of the RDS structure is determined. Next, several typical multi-objective optimization algorithms are tested and the improved nondominated sorting genetic algorithm II (INSGA-II) is selected for establishing an optimization model of the RDS structure. INSGA-II obtains the Pareto solution set of multi-objective optimization. The weights are obtained by combining the subjective and objective weights determined through the subjective-weighting analytic hierarchy process and the objective-weighting entropy weight method, respectively. Based on the combination weight, the technique for order preference by similarity to the ideal solution method is selected for multi-objective optimization decision-making. The final decision-making scheme of the rotary docking skirt structure improved the optimization effect compared to the initial scheme." @default.
- W4386412819 created "2023-09-05" @default.
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- W4386412819 date "2023-11-01" @default.
- W4386412819 modified "2023-10-04" @default.
- W4386412819 title "Multi-objective optimization decision-making of an underwater vehicle rotary docking skirt structure" @default.
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- W4386412819 doi "https://doi.org/10.1016/j.tws.2023.111097" @default.
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