ICCM Conferences, The 12th International Conference on Computational Methods (ICCM2021)

Font Size: 
Economic Parametric Optimization and Uncertainty Analysis in Ship Design using Monte Carlo Simulations
Yuan Hang Hou, Chong Fu, Ye Ping Xiong

Last modified: 2021-06-23


Economic efficiency must be considered in ship concept design. There are many uncertain internal and external factors in the ship design process. This paper concentrates on the optimization of a ship’s economic performance while considering the influence of uncontrollable factors on the output response. Firstly, the economic-objective function and the mathematical optimization model of a bulk carrier are established, and design space and constraints are proposed. Secondly, two algorithms are adopted to perform deterministic multi-objectives optimization. Thirdly, sensitivity analysis of the design parameters is conducted as well as the output response uncertainty analysis based on Monte Carlo simulations. The results reveal that, when random variables obey a specific distribution, the corresponding distribution of uncertainty effects will also exist in the output response. Therefore, the necessity of uncertainty analysis in parametric ship concept design is verified.


Ship design, Economic, Optimization design, Uncertainty analysis, Monte Carlo simulation

An account with this site is required in order to view papers. Click here to create an account.