A Proposal of PSO Particles' Initialization for Costly Unconstrained Optimization Problems: ORTHOinit. - Matteo Diez; Andrea Serani; Cecilia Leotardi; Emilio Fortunato Campana; Daniele Peri; Umberto Iemma; Giovanni Fasano; Silvio Giove (ICSI (1), 2014)

Globally Convergent Hybridization of Particle Swarm Optimization Using Line Search-Based Derivative-Free Techniques. - Andrea Serani; Matteo Diez; Emilio Fortunato Campana; Giovanni Fasano; Daniele Peri; Umberto Iemma (Recent Advances in Swarm Intelligence and Evolutionary Computation, 2015)

Dense Orthogonal Initialization for Deterministic PSO: ORTHOinit+. - Matteo Diez; Andrea Serani; Cecilia Leotardi; Emilio Fortunato Campana; Giovanni Fasano; Riccardo Gusso (ICSI (1), 2016)

Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems. - Andrea Serani; Cecilia Leotardi; Umberto Iemma; Emilio Fortunato Campana; Giovanni Fasano; Matteo Diez (Appl. Soft Comput., 2016)

Nonlinear Methods for Design-Space Dimensionality Reduction in Shape Optimization. - Danny D'Agostino; Andrea Serani; Emilio Fortunato Campana; Matteo Diez (MOD, 2017)

Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch. - Riccardo Pellegrini; Andrea Serani; Giampaolo Liuzzi; Francesco Rinaldi; Stefano Lucidi; Emilio Fortunato Campana; Umberto Iemma; Matteo Diez (MOD, 2017)

Dolphin Pod Optimization - A Nature-Inspired Deterministic Algorithm for Simulation-Based Design. - Andrea Serani; Matteo Diez (MOD, 2017)

Dolphin Pod Optimization. - Andrea Serani; Matteo Diez (ICSI (1), 2017)

Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization. - Riccardo Pellegrini; Andrea Serani; Cecilia Leotardi; Umberto Iemma; Emilio Fortunato Campana; Matteo Diez (Appl. Soft Comput., 2017)

Augmented Design-Space Exploration by Nonlinear Dimensionality Reduction Methods. - Danny D'Agostino; Andrea Serani; Emilio Fortunato Campana; Matteo Diez (LOD, 2018)

A multi-objective DIRECT algorithm for ship hull optimization. - Emilio Fortunato Campana; Matteo Diez; Giampaolo Liuzzi; Stefano Lucidi; Riccardo Pellegrini; Veronica Piccialli; Francesco Rinaldi; Andrea Serani (Comput. Optim. Appl., 2018)

Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison. - Chiara Piazzola; Lorenzo Tamellini; Riccardo Pellegrini; Riccardo Broglia; Andrea Serani; Matteo Diez (CoRR, 2020)

Dense conjugate initialization for deterministic PSO in applications: ORTHOinit+. - Cecilia Leotardi; Andrea Serani; Matteo Diez; Emilio Fortunato Campana; Giovanni Fasano; Riccardo Gusso (Appl. Soft Comput., 2021)

Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State. - Danny D'Agostino; Andrea Serani; Frederick Stern; Matteo Diez (CoRR, 2021)

Geometric Moment-Dependent Global Sensitivity Analysis without Simulation Data: Application to Ship Hull Form Optimisation. - Shahroz Khan; Panagiotis D. Kaklis; Andrea Serani; Matteo Diez (Comput. Aided Des., 2022)

Shape-supervised Dimension Reduction: Extracting Geometry and Physics Associated Features with Geometric Moments. - Shahroz Khan; Panagiotis D. Kaklis; Andrea Serani; Matteo Diez; Konstantinos V. Kostas (Comput. Aided Des., 2022)

Analytical Benchmark Problems for Multifidelity Optimization Methods. - Laura Mainini; Andrea Serani; Markus P. Rumpfkeil; Edmondo A. Minisci; Domenico Quagliarella; Hayriye Pehlivan Solak; Sihmehmet Yildiz; S. Ficini; Riccardo Pellegrini; Francesco Di Fiore; Dean E. Bryson; Melike Nikbay; et al. (CoRR, 2022)

Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance. - Chiara Piazzola; Lorenzo Tamellini; Riccardo Pellegrini; Riccardo Broglia; Andrea Serani; Matteo Diez (Eng. Comput., 2023)

Overview on the Special Issue on "Simulation-Based Optimization: Methods and Applications in Engineering Design". - Riccardo Pellegrini; Andrea Serani (Algorithms, 2023)

A multi-fidelity active learning method for global design optimization problems with noisy evaluations. - Riccardo Pellegrini; Jeroen Wackers; Riccardo Broglia; Andrea Serani; Michel Visonneau; Matteo Diez (Eng. Comput., 2023)

Democratizing Uncertainty Quantification. - Linus Seelinger; Anne Reinarz; Mikkel Bue Lykkegaard; Amal Mohammed A. Alghamdi; David Aristoff; Wolfgang Bangerth; Jean Bénézech; Matteo Diez; Kurt Frey; John D. Jakeman; Jakob Sauer Jørgensen; Ki-Tae Kim; et al. (CoRR, 2024)

A Scoping Review on Simulation-based Design Optimization in Marine Engineering: Trends, Best Practices, and Gaps. - Andrea Serani; Thomas Scholcz; Valentina Vanzi (CoRR, 2024)

A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization. - Andrea Serani; Matteo Diez (CoRR, 2024)

Analysis and Forecasting of the Dynamics of a Floating Wind Turbine Using Dynamic Mode Decomposition. - Giorgio Palma; Andrea Bardazzi; Alessia Lucarelli; Chiara Pilloton; Andrea Serani; Claudio Lugni; Matteo Diez (CoRR, 2024)

Bayesian dynamic mode decomposition for real-time ship motion digital twinning. - Giorgio Palma; Andrea Serani; Kevin McTaggart; Shawn Aram; David W. Wundrow; David Drazen; Matteo Diez (CoRR, 2024)

Democratizing uncertainty quantification. - Linus Seelinger; Anne Reinarz; Mikkel Bue Lykkegaard; Robert Akers; Amal Mohammed A. Alghamdi; David Aristoff; Wolfgang Bangerth; Jean Bénézech; Matteo Diez; Kurt Frey; John D. Jakeman; Jakob Sauer Jørgensen; et al. (J. Comput. Phys., 2025)

Model-free system identification of surface ships in waves via Hankel dynamic mode decomposition with control. - Giorgio Palma; Andrea Serani; Shawn Aram; David W. Wundrow; David Drazen; Matteo Diez (CoRR, 2025)