Hull-form stochastic optimization via computational-cost reduction methods

A Serani, F Stern, EF Campana, M Diez - Engineering with Computers, 2022 - Springer
The paper shows how cost-reduction methods can be synergistically combined to enable
high-fidelity hull-form optimization under stochastic conditions. Specifically, a multi-objective …

Robust optimization for ship conceptual design

M Diez, D Peri - Ocean Engineering, 2010 - Elsevier
The paper presents an approach for the robust optimization of a bulk carrier conceptual
design, subject to uncertain operating and environmental conditions. The uncertainties …

Multidisciplinary optimization of an offshore aquaculture vessel hull form based on the support vector regression surrogate model

Y Feng, Z Chen, Y Dai, F Wang, J Cai, Z Shen - Ocean Engineering, 2018 - Elsevier
The shape of a ship's hull has a significant impact on the resistance and propulsive
performance of the ship, especially for wide ships. In this study, experimental and numerical …

Learning-based ship design optimization approach

H Cui, O Turan, P Sayer - Computer-Aided Design, 2012 - Elsevier
With the development of computer applications in ship design, optimization, as a powerful
approach, has been widely used in the design and analysis process. However, the running …

[HTML][HTML] Bow hull-form optimization in waves of a 66,000 DWT bulk carrier

JW Yu, CM Lee, I Lee, JE Choi - … Journal of Naval Architecture and Ocean …, 2017 - Elsevier
This paper uses optimization techniques to obtain bow hull form of a 66,000 DWT bulk
carrier in calm water and in waves. Parametric modification functions of SAC and section …

Neumann-Michell theory-based multi-objective optimization of hull form for a naval surface combatant

J Wu, X Liu, M Zhao, D Wan - Applied Ocean Research, 2017 - Elsevier
A numerical multi-objective optimization procedure is proposed here to describe the
development and application of a practical hydrodynamic optimization tool, OPTShip-SJTU …

Improving swath seakee** performance using multi-fidelity Gaussian process and Bayesian optimization

L Bonfiglio, P Perdikaris, G Vernengo… - Journal of Ship …, 2018 - onepetro.org
We construct a multi-fidelity framework for statistical learning and global optimization that is
capable of effectively synthesizing seakee** predictions having two different levels of …

Design optimization of an unmanned underwater vehicle using low-and high-fidelity models

K Alam, T Ray, SG Anavatti - IEEE Transactions on Systems …, 2015 - ieeexplore.ieee.org
Design optimization of an unmanned underwater vehicle (UUV) is a complex and a
computationally expensive exercise that requires the identification of optimal vehicle …

An integrated multidisciplinary particle swarm optimization approach to conceptual ship design

CG Hart, N Vlahopoulos - Structural and Multidisciplinary Optimization, 2010 - Springer
A particle swarm optimization (PSO) solver is developed based on theoretical information
available from the literature. The implementation is validated by utilizing the PSO optimizer …

Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization

R Pellegrini, A Serani, C Leotardi, U Iemma… - Applied Soft …, 2017 - Elsevier
Global derivative-free deterministic algorithms are particularly suitable for simulation-based
optimization, where often the existence of multiple local optima cannot be excluded a priori …