Results 51 to 60 of about 9,535,029 (378)
Active Bayesian Optimization: Minimizing Minimizer Entropy [PDF]
, 2012 The ultimate goal of optimization is to find the minimizer of a target function.However, typical criteria for active optimization often ignore the uncertainty about the minimizer.
Nassar, Marcel +2 more
core
An informational approach to the global optimization of expensive-to-evaluate functions
, 2007 In many global optimization problems motivated by engineering applications, the number of function evaluations is severely limited by time or cost. To ensure that each evaluation contributes to the localization of good candidates for the role of global ...
Département Signaux +5 more
core +4 more sources
Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization
Scientific Reports, 2023 In this paper, Energy Valley Optimizer (EVO) is proposed as a novel metaheuristic algorithm inspired by advanced physics principles regarding stability and different modes of particle decay.
M. Azizi +3 more
semanticscholar +1 more source
Circulating histones as clinical biomarkers in critically ill conditions
FEBS Letters, EarlyView.Circulating histones are emerging as promising biomarkers in critical illness due to their diagnostic, prognostic, and therapeutic potential. Detection methods such as ELISA and mass spectrometry provide reliable approaches for quantifying histone levels in plasma samples.
José Luis García‐Gimenez +17 more
wiley +1 more source
Machine Learning in Quasi-Newton Methods
AxiomsIn this article, we consider the correction of metric matrices in quasi-Newton methods (QNM) from the perspective of machine learning theory. Based on training information for estimating the matrix of the second derivatives of a function, we formulate a ...
Vladimir Krutikov +4 more
doaj +1 more source
A Direct Search Algorithm for Global Optimization
Algorithms, 2016 A direct search algorithm is proposed for minimizing an arbitrary real valued function. The algorithm uses a new function transformation and three simplex-based operations.
Enrique Baeyens +2 more
doaj +1 more source
Globally Optimal Facility Locations for Continuous-Space Facility Location Problems
Applied Sciences, 2021 The continuous-space single- and multi-facility location problem has attracted much attention in previous studies. This study focuses on determining the globally optimal facility locations for two- and higher-dimensional continuous-space facility ...
Xuehong Gao +5 more
doaj +1 more source
The True Destination of EGO is Multi-local Optimization
, 2017 Efficient global optimization is a popular algorithm for the optimization of expensive multimodal black-box functions. One important reason for its popularity is its theoretical foundation of global convergence.
Preuss, Mike, Wessing, Simon
core +1 more source
Global optimization of dielectric metasurfaces using a physics-driven neural network [PDF]
Nano letters (Print), 2019 We present a global optimizer, based on a conditional generative neural network, which can output ensembles of highly efficient topology-optimized metasurfaces operating across a range of parameters.
Jiaqi Jiang, Jonathan A. Fan
semanticscholar +1 more source
FEBS Letters, EarlyView.Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu +17 more
wiley +1 more source