A study on multi-objective optimal design of derrick structure: Case study

International Journal of Naval Architecture and Ocean Engineering(2018)

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摘要
Engineering system problems consist of multi-objective optimisation and the performance analysis is generally time consuming. To optimise the system concerning its performance, many researchers perform the optimisation using an approximation model. The Response Surface Method (RSM) is usually used to predict the system performance in many research fields, but it shows prediction errors for highly nonlinear problems. To create an appropriate metamodel for marine systems, Lee (2015) compares the prediction accuracy of the approximation model, and multi-objective optimal design framework is proposed based on a confirmed approximation model. The proposed framework is composed of three parts: definition of geometry, generation of approximation model, and optimisation.
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关键词
Multi-objective optimal design framework,Sensitivity analysis,Back-Propagation Neural Network (BPNN),Neuro-Response Surface Method (NRSM),Non-dominated Sorting Genetic Algorithm-II (NSGA-II),Derrick structure
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