...-FPAFA algorithm Firefly algorithm (FA) Flower pollination algorithm (FPA) Cellular beams Improved ray optimization (IRO) algorithm, Cost optimization Sensitivity analysis Funding: The author declares that no external funding was received for the conduct of this research. The study...

..., multiple nonlinear regression and multiple linear regression were developed. Their performance was evaluated using R², root mean squared error (RMSE), mean absolute error (MAE) and k-fold cross-validation, supported by visual diagnostics. Sensitivity analysis was conducted to quantify...

... Licensed re-use rights only Optimal transport Monge–Ampère equation Convex PINNs Transport boundary conditions Sensitivity analysis In the field of fully nonlinear equations, the optimal transport problem has raised numerous fundamental questions over the recent years (Ambrosio et...

... are extracted. Moreover, the hyperbolic, periodic as well as exponential solutions are extracted. In addition, the chaotic analysis and sensitivity analysis are the focus of this study. Originality/value The findings in this study are original and useful in different fields, and include the contribution...

... 12 10 2023 © Emerald Publishing Limited 2023 Emerald Publishing Limited Licensed re-use rights only Multivariate nonlinear regression FE–DE method Newton iteration of the least squares method Sensitivity analysis The optimal design of hydraulic fracturing parameters...

... The findings of sensitivity analysis indicate that the component design can satisfy the damping characteristics and power performance required for heavy-duty vehicle, freight wagon and typical passenger train. The results also show that reducing the losses is highly beneficial for saving suspension energy...

... Minkowski content Sensitivity analysis Compliance via parametrized minimum Constrained objective via parametrized minimax of Lagrangian When the variable at hand is a geometric object in the n-dimensional Euclidean [1] space R n , it is natural to introduce a space...

... approach is numerically verified via three numerical examples. Originality/value An adaptive recursive algorithm is developed for derivatives computing with high fidelity, providing a solid platform for the sensitivity analysis and thereby a two-step strategy in conjunction with Levenberg–Marquardt...

... This paper conducts a sensitivity analysis based on variance decomposition of factors in both of original and improved BA. The data sets for sensitivity analysis are generated by optimal Latin hyper sampling in the design of experiment. The optimal factor sets are screened by stochastic error bar measures...

... of area distortion (weight: α with 0 ≤ α ≤ 1) and angle distortion (weight: 1 − α). Findings The present study parameterization algorithm has linear complexity [𝒪(n), n = number of mesh vertices]. The sensitivity analysis permits a fine-tuning of the weight parameter which...

... computing the sensitivity of the wave propagation data for periodic composite structures irrespective of their size. The considered structure can be of arbitrary layering and material characteristics as FE modelling is used. Sensitivity analysis Wave propagation Composite structures (3...

...): (Equation 10) (Equation 11) © Emerald Group Publishing Limited 2015 Multi-objective optimization Finite element analysis Sensitivity analysis Magnetic fluid hyperthermia Magnetic nanoparticles Uniform magnetic field Magnetic fluid hyperthermia (MFH) is a cancer therapy...

... derivative works of the article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licenses/by/3.0/legalcode . 2015 Sensitivity analysis Bubbly flow...

... (U), norm degree (k), and point sample size (r) on the optimized curve reconstruction measured by a penalty function (f). The paper aims to discuss these issues. Design/methodology/approach – A numerical sensitivity analysis of the effect of m, b...

... and geometry. Design/methodology/approach When first‐order HDMR approximation of the original high‐dimensional limit state is not adequate to provide the desired accuracy to the sensitivity analysis, this paper presents an enhanced HDMR (eHDMR) method to represent the higher‐order terms of HDMR expansion...

...@mail.nkmu.edu.tw © Emerald Group Publishing Limited 2010 Structural engineering Sensitivity analysis Structural theory Recently, structural health monitoring (SHM) has become an important issue in structural engineering. One of the goals of SHM is to detect damage in a structure. Various...

..., respectively. By the convex combination property and the renewal reward theorem, several system performances are obtained. A cost model is developed to search the optimal two‐threshold policy at a minimum cost. Sensitivity analysis is performed. Findings Expressions for various system performances...

...Jyh‐Bin Ke; Wen‐Chiung Lee; Jau‐Chuan Ke Purpose The purpose of this paper is to explore the reliability and sensitivity analysis of a system with M primary units, W standby units, and one repair facility when switching to primary units may fail. Design/methodology/approach...

... of a static finite element analysis. © MCB UP Limited 1997 Fuzzy sets Linear programming Sensitivity analysis Structural design In order to take into account the prescribed displacements, a real value, either zero or other, is generally prescribed for the displacements concerned...

... characteristics. The method is based on an iterative process of optimization that includes structural analysis by the Finite Element Method (FEM), sensitivity analysis, and optimization techniques. An efficient and accurate method is used to calculate the sensitivities of the dynamic behaviour of the structure...