Results 71 to 80 of about 619,780 (278)
Constrained Deep Networks: Lagrangian Optimization via Log-Barrier Extensions
, 2020 This study investigates the optimization aspects of imposing hard inequality constraints on the outputs of CNNs. In the context of deep networks, constraints are commonly handled with penalties for their simplicity, and despite their well-known ...
Ayed, Ismail Ben +5 more
core
Progressive construction of a parametric reduced-order model for PDE-constrained optimization [PDF]
, 2014 An adaptive approach to using reduced-order models as surrogates in PDE-constrained optimization is introduced that breaks the traditional offline-online framework of model order reduction.
Farhat, Charbel, Zahr, Matthew J.
core
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
FEBS Open Bio, EarlyView.Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
Zhongguo Jianchuan Yanjiu, 2018 [Objectives] In order to further improve the vibration characteristics of traditional constrained damping structures, the optimized design of an improved constrained stand-off layer damping structure with engineering application value is carried out ...
YI Shaoqiang, HE Shiping, WANG Jie
doaj
Population Feasibility State Guided Autonomous Constrained Multi-Objective Evolutionary Optimization
MathematicsMany practical problems can be classified as constrained multi-objective optimization problems. Although various methods have been proposed for solving constrained multi-objective optimization problems, there is still a lack of research considering the ...
Mingcheng Zuo, Yuan Xue
doaj +1 more source
Investigation of the iCC Framework Performance for Solving Constrained LSGO Problems
Algorithms, 2020 Many modern real-valued optimization tasks use “black-box” (BB) models for evaluating objective functions and they are high-dimensional and constrained.
Alexey Vakhnin, Evgenii Sopov
doaj +1 more source
Computer program for parameter optimization [PDF]
, 1968 Flexible, large scale digital computer program was designed for the solution of a wide range of multivariable parameter optimization problems.
Glatt, C. R., Hague, D. S.
core +1 more source
, 2015 Different types of evolutionary algorithms have been developed for constrained continuous optimization. We carry out a feature-based analysis of evolved constrained continuous optimization instances to understand the characteristics of constraints that ...
Neumann, FranK, Poursoltan, Shayan
core +1 more source
Aging and Cancer, EarlyView.Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu +8 more
wiley +1 more source