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Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems

Applied soft computing, 2016-12, Vol.49, p.313-334

2016

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Time-series forecasting of ships maneuvering in waves via dynamic mode decomposition

Journal of ocean engineering and marine energy, 2022-11, Vol.8 (4), p.471-478

2022

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Time-series forecasting for ships maneuvering in waves via recurrent-type neural networks

Journal of ocean engineering and marine energy, 2022-11, Vol.8 (4), p.479-487

2022

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Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms

Applied ocean research, 2016-09, Vol.59, p.115-128

2016

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Recent progress in CFD for naval architecture and ocean engineering

Journal of hydrodynamics. Series B, 2015-02, Vol.27 (1), p.1-23

2015

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Parametric model embedding

Computer methods in applied mechanics and engineering, 2023-02, Vol.404, p.115776, Article 115776

2023

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Efficient initialization for multi-fidelity surrogate-based optimization

Journal of ocean engineering and marine energy, 2023-05, Vol.9 (2), p.291-307

2023

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PIV Snapshot Clustering Reveals the Dual Deterministic and Chaotic Nature of Propeller Wakes at Macro- and Micro-Scales

Journal of marine science and engineering, 2023-06, Vol.11 (6), p.1220

2023

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Uncertainty quantification of Delft catamaran resistance, sinkage and trim for variable Froude number and geometry using metamodels, quadrature and Karhunen–Loève expansion

Journal of marine science and technology, 2014-06, Vol.19 (2), p.143-169

2014

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Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches

Mathematics (Basel), 2020-04, Vol.8 (4), p.546

2020

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A Derivative-Free Line-Search Algorithm for Simulation-Driven Design Optimization Using Multi-Fidelity Computations

Mathematics (Basel), 2022-02, Vol.10 (3), p.481

2022

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Design-space dimensionality reduction in shape optimization by Karhunen–Loève expansion

Computer methods in applied mechanics and engineering, 2015-01, Vol.283, p.1525-1544

2015

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Design-space dimensionality reduction in global optimization of functional surfaces: recent developments and way forward

Ship technology research = Schiffstechnik, 2024-05, Vol.71 (2), p.141-152

2024

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Dolphin Pod Optimization

Advances in Swarm Intelligence, p.63-70

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Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International journal of adaptive control and signal processing, 2024-05

2024

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Design-space assessment and dimensionality reduction: An off-line method for shape reparameterization in simulation-based optimization

Ocean engineering, 2020-02, Vol.197, p.106852, Article 106852

2020

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Geometric Moment-Dependent Global Sensitivity Analysis without Simulation Data: Application to Ship Hull Form Optimisation

Computer aided design, 2022-10, Vol.151, p.103339, Article 103339

2022

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On the use of dynamic mode decomposition for time-series forecasting of ships operating in waves

Ocean engineering, 2023-01, Vol.267, p.113235, Article 113235

2023

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URANS analysis of a free-running destroyer sailing in irregular stern-quartering waves at sea state 7

Ocean engineering, 2021-10, Vol.237, p.109600, Article 109600

2021

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Stochastic optimization methods for ship resistance and operational efficiency via CFD

Structural and multidisciplinary optimization, 2018-02, Vol.57 (2), p.735-758

2018

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A one-dimensional polynomial chaos method in CFD-Based uncertainty quantification for ship hydrodynamic performance

Journal of hydrodynamics. Series B, 2013-10, Vol.25 (5), p.655-662

2013

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Shape-supervised Dimension Reduction: Extracting Geometry and Physics Associated Features with Geometric Moments

Computer aided design, 2022-09, Vol.150, p.103327, Article 103327

2022

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Hull-form stochastic optimization via computational-cost reduction methods

Engineering with computers, 2022-08, Vol.38 (Suppl 3), p.2245-2269

2022

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High-fidelity global optimization of shape design by dimensionality reduction, metamodels and deterministic particle swarm

Engineering optimization, 2015-04, Vol.47 (4), p.473-494

2015

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Corrigendum to “URANS analysis of a free-running destroyer sailing in irregular stern-quartering waves at sea state 7” ocean engineering 237 (2021) 109600

Ocean engineering, 2021-11, Vol.239, p.109864, Article 109864

2021

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Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems

Time-series forecasting of ships maneuvering in waves via dynamic mode decomposition

Time-series forecasting for ships maneuvering in waves via recurrent-type neural networks

Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms

Recent progress in CFD for naval architecture and ocean engineering

Parametric model embedding

Efficient initialization for multi-fidelity surrogate-based optimization

PIV Snapshot Clustering Reveals the Dual Deterministic and Chaotic Nature of Propeller Wakes at Macro- and Micro-Scales

Uncertainty quantification of Delft catamaran resistance, sinkage and trim for variable Froude number and geometry using metamodels, quadrature and Karhunen–Loève expansion

Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches

A Derivative-Free Line-Search Algorithm for Simulation-Driven Design Optimization Using Multi-Fidelity Computations

Design-space dimensionality reduction in shape optimization by Karhunen–Loève expansion

Design-space dimensionality reduction in global optimization of functional surfaces: recent developments and way forward

Dolphin Pod Optimization

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

Design-space assessment and dimensionality reduction: An off-line method for shape reparameterization in simulation-based optimization

Geometric Moment-Dependent Global Sensitivity Analysis without Simulation Data: Application to Ship Hull Form Optimisation

On the use of dynamic mode decomposition for time-series forecasting of ships operating in waves

URANS analysis of a free-running destroyer sailing in irregular stern-quartering waves at sea state 7

Stochastic optimization methods for ship resistance and operational efficiency via CFD

A one-dimensional polynomial chaos method in CFD-Based uncertainty quantification for ship hydrodynamic performance

Shape-supervised Dimension Reduction: Extracting Geometry and Physics Associated Features with Geometric Moments

Hull-form stochastic optimization via computational-cost reduction methods

High-fidelity global optimization of shape design by dimensionality reduction, metamodels and deterministic particle swarm

Corrigendum to “URANS analysis of a free-running destroyer sailing in irregular stern-quartering waves at sea state 7” ocean engineering 237 (2021) 109600

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