Suggestions(5)
Exact(5)
For this class of problems, we propose a new predictor-based heuristic that uses a distance criterion to perform the solution search.
The two-level strategy relies both on the use of the polar formalism for the description of the anisotropic behaviour of the laminates and on the use of a genetic algorithm as optimisation tool to perform the solution search.
To this purpose, a 3D finite element model is used to model the piezoelectric sensors, while an improved genetic algorithm is used as the optimisation tool in order to perform the solution search.
The two-level strategy is founded on the polar formalism for the description of the anisotropic behaviour of the laminates, on the NURBS basis functions for representing the shape of the unit cell and on the use of a genetic algorithm as optimisation tool to perform the solution search.
The proposed approach relies on: (a) the polar formalism for describing the behaviour of the VAT laminate, (b) the iso-geometric surfaces for describing the spatial variation of both the laminate stiffness properties (macro-scale) and the layers fibres-path (meso-scale) and (c) an hybrid optimisation tool (genetic and gradient-based algorithms) to perform the solution search.
Similar(55)
To perform the numerical solution of the heat transfer problem, a computational code was implemented using the EES software.
The RLS estimator is designed to perform the approximate solution of HJB-Riccati Equation in Dual Approximate Dynamic Programming.
After being performed the measurements (solution density and descent time) for a given solution at the test temperature, these are used to calculate viscosity as described in equation [eq 1].
A program performing the analytical solution is developed using the engineering equation solver software.
Two experiments were performed: the baseline solution presented in Section 3 and SDDV level 8.
An equilibrium is achieved by performing the waterfilling solution iteratively across all the UTs in the system.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com