Results 91 to 100 of about 12,262,956 (340)
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
FCS-MPC Based on Dimension Unification Cost Function
EnergiesFinite Control Set Model Predictive Control (FCS-MPC) has the ability to achieve multi-objective optimization, but there are still many challenges. The key to realizing multi-objective optimization in FCS-MPC lies in the design of the cost function ...
Jinyang Han +5 more
doaj +1 more source
The Gerber-Shiu expected discounted penalty-reward function under an affine jump-diffusion model. [PDF]
We provide a unified analytical treatment of first passage problems under an affine state-dependent jump-diffusion model (with drift and volatility depending linearly on the state).
Avram, Florin, Usábel, Miguel A.
core
Penalty fuzzy function for derivative-free optimization
, 2012 Penalty and Barrier methods are normally used to solve Nonlinear Optimization Problems constrained problems. The problems appear in areas such as engineering and are often characterised by the fact that involved functions (objective and constraints ...
Correia, Aldina +5 more
core +1 more source
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Penalty Coefficient Adjustment Technique for Extended Ising Machines
IEEE AccessWe have developed an extended Ising machine that extends the energy function, which is restricted to a binary-quadratic form in conventional Ising machines, to include a variety of penalty functions representing inequality constraints and higher-order ...
Fang Yin +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee +7 more
wiley +1 more source
Particle Swarm Optimization with non-smooth penalty reformulation for a complex portfolio selection problem [PDF]
In the classical model for portfolio selection the risk is measured by the variance of returns. It is well known that, if returns are not elliptically distributed, this may cause inaccurate investment decisions. To address this issue, several alternative
Marco Corazza +2 more
core
A Lagrangian penalty function method for monotone variational inequalities [PDF]
, 1989 A Lagrange-type penalty function method is proposed for a class of variational inequalities. The penalty function may have both positive and negative values. Each penalized subproblem is required to be solved only approximately. A condition under which a
Muu, Lê D., Oettli, Werner
core
A penalty function method for constrained molecular dynamics
, 2006 We propose a penalty-function method for constrained molecular dynamic simulation by defining a quadratic penalty function for the constraints. The simulation with such a method can be done by using a conventional, unconstrained solver only with the ...
Gunaratne, Ajith
core +1 more source