نتایج جستجو برای: experimental optimization

تعداد نتایج: 1002725  

Journal: :SIAM Journal on Scientific Computing 2022

Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 18 May 2020Accepted: 11 October 2021Published online: 31 January 2022KeywordsBayesian experimental design, expected information gain, multilevel Monte Carlo, nested expectation, stochastic gradient descentAMS Subject Headings62K05, 62L20, 65C05, 92C45, 94A17Publication Da...

2005
Vincenzo Cutello Giuseppe Narzisi Giuseppe Nicosia Mario Pavone

Numerical optimization of given objective functions is a crucial task in many real-life problems. The present article introduces an immunological algorithm for continuous global optimization problems, called opt-IA. Several biologically inspired algorithms have been designed during the last few years and have shown to have very good performance on standard test bed for numerical optimization. I...

Journal: :International Journal of Advanced Engineering Research and Science 2018

Journal: :npj computational materials 2022

Abstract A crucial problem in achieving innovative high-throughput materials growth with machine learning, such as Bayesian optimization (BO), and automation techniques has been a lack of an appropriate way to handle missing data due experimental failures. Here, we propose BO algorithm that complements the optimizing parameters. The proposed method provides flexible searches wide multi-dimensio...

Journal: :IEEE Transactions on Applied Superconductivity 2021

In the current energy scenario, due to increment in power generation from renewable sources, importance of electrical storage systems has increased significantly, and as a consequence, study improvement its efficiency design new also increased. Superconducting material permits Magnetic Energy Storage (SMES). The main problem SMEs is low density they have, what make optimization be one keys for ...

Journal: :Journal of physics 2023

Abstract In order to demonstrate the key functionalities of large-scale LEO navigation constellations, this paper investigates small-scale experimental constellation design problem. The major requirements include achieving quadruple coverage specific ground target areas. regional consists four satellites distributed on two orbit planes. Considering sustainable navigation, it is expected that or...

Journal: :J. Global Optimization 2005
Mike C. Bartholomew-Biggs Z. J. Ulanowski S. Zakovic

We report some experience with optimization methods applied to an inverse light scattering problem for spherical, homogeneous particles. Such particles can be identified from experimental data using a least squares global optimization method. However, if there is significant noise in the data, the “best” solution may not correspond well to the “actual” particle. We suggest a way in which the or...

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