Design-space dimensionality reduction in shape optimization by Karhunen–Loève expansion
The paper presents a methodology to reduce the dimension of design spaces in shape
optimization problems, while retaining a desired level of geometric variance. The method is …
optimization problems, while retaining a desired level of geometric variance. The method is …
[HTML][HTML] A collection of 30 multidimensional functions for global optimization benchmarking
V Plevris, G Solorzano - Data, 2022 - mdpi.com
A collection of thirty mathematical functions that can be used for optimization purposes is
presented and investigated in detail. The functions are defined in multiple dimensions, for …
presented and investigated in detail. The functions are defined in multiple dimensions, for …
Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems
Deterministic optimization algorithms are very attractive when the objective function is
computationally expensive and therefore the statistical analysis of the optimization outcomes …
computationally expensive and therefore the statistical analysis of the optimization outcomes …
Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms
Simulation-based design optimization methods integrate computer simulations, design
modification tools, and optimization algorithms. In hydrodynamic applications, often …
modification tools, and optimization algorithms. In hydrodynamic applications, often …
[HTML][HTML] A new method for optimal ship design in real sea states using the ship power profile
E Esmailian, S Steen - Ocean Engineering, 2022 - Elsevier
Typically, ships are designed for calm water and a constant design speed. However, a ship
experiences different speeds and sea conditions over her lifetime. Following the significant …
experiences different speeds and sea conditions over her lifetime. Following the significant …
Uniform initialization in response space for PSO and its applications
Particle swarm optimization (PSO) is widely used in the parameter estimation for complex
models, which is the key to establishing a mathematical model. However, convergence to …
models, which is the key to establishing a mathematical model. However, convergence to …
[HTML][HTML] Low-cost quasi-global optimization of expensive electromagnetic simulation models by inverse surrogates and response features
S Koziel, A Pietrenko-Dabrowska - Scientific Reports, 2022 - nature.com
Conceptual design of contemporary high-frequency structures is typically followed by a
careful tuning of their parameters, predominantly the geometry ones. The process aims at …
careful tuning of their parameters, predominantly the geometry ones. The process aims at …
Derivative-free global ship design optimization using global/local hybridization of the DIRECT algorithm
The application of global/local hybrid DIRECT algorithms to the simulation-based hull form
optimization of a military vessel is presented, aimed at the reduction of the resistance in calm …
optimization of a military vessel is presented, aimed at the reduction of the resistance in calm …
Hull-form optimization using parametric modification functions and particle swarm optimization
HJ Kim, JE Choi, HH Chun - Journal of marine science and technology, 2016 - Springer
The focus of this paper is on devising designer-friendly hull-form variations coupled with
optimization algorithms. Hull-form variations are carried out through parametric modification …
optimization algorithms. Hull-form variations are carried out through parametric modification …
Simulation-based design optimization by sequential multi-criterion adaptive sampling and dynamic radial basis functions
The paper presents a global method for simulation-based design optimization (SBDO) which
combines a dynamic radial basis function (DRBF) surrogate model with a sequential multi …
combines a dynamic radial basis function (DRBF) surrogate model with a sequential multi …