Results 21 to 30 of about 9,535,029 (378)

Machine learning–assisted global optimization of photonic devices [PDF]

open access: yesFrontiers in Optics and Photonics, 2020
Over the past decade, artificially engineered optical materials and nanostructured thin films have revolutionized the area of photonics by employing novel concepts of metamaterials and metasurfaces where spatially varying structures yield tailorable “by ...
Z. Kudyshev   +3 more
semanticscholar   +1 more source

Diffusions for Global Optimization

open access: yesSIAM Journal on Control and Optimization, 1986
This paper describes a problem of finding a global minimum of a real- valued function defined on the unit hypercube in Euclidean n-space. The problem is changed to a stochastic differential equation by using the gradient of the above function as the drift term and a diffusion term which is interpreted as a constant times the square root of ...
Chii-Ruey Hwang, Stuart Geman
openaire   +3 more sources

An efficient parallel global optimization strategy based on Kriging properties suitable for material parameters identification [PDF]

open access: yesArchive of Mechanical Engineering, 2020
Material parameters identification by inverse analysis using finite element computations leads to the resolution of complex and time-consuming optimization problems. One way to deal with these complex problems is to use meta-models to limit the number of
Emile Roux   +3 more
doaj   +1 more source

Global Optimization on an Interval [PDF]

open access: yesJournal of Optimization Theory and Applications, 2016
This paper provides expressions for solutions of a one-dimensional global optimization problem using an adjoint variable which represents the available one-sided improvements up to the interval “horizon.” Interpreting the problem in terms of optimal stopping or optimal starting, the solution characterization yields two-point boundary problems as in ...
openaire   +4 more sources

Application of reduced-set pareto-lipschitzian optimization to truss optimization [PDF]

open access: yes, 2015
In this paper, a recently proposed global Lipschitz optimization algorithm Pareto-Lipschitzian Optimization with Reduced-set (PLOR) is further developed, investigated and applied to truss optimization problems.
Mockus, J   +4 more
core   +1 more source

Fast multi-swarm optimization for dynamic optimization problems [PDF]

open access: yes, 2008
This article is posted here with permission of IEEE - Copyright @ 2008 IEEEIn the real world, many applications are non-stationary optimization problems. This requires that the optimization algorithms need to not only find the global optimal solution but
Li, C, Yang, S
core   +1 more source

Agent-based Optimization of Advisory Strategy Parameters

open access: yesJournal of Telecommunications and Information Technology, 2013
In this paper, an application of Evolutionary Multiagent Systems (EMAS) and its memetic version to the optimization of advisory strategy (in this case, Sudoku advisory strategy) is considered.
Mateusz Polnik   +2 more
doaj   +1 more source

A hybrid multiagent approach for global trajectory optimization [PDF]

open access: yes, 2008
In this paper we consider a global optimization method for space trajectory design problems. The method, which actually aims at finding not only the global minimizer but a whole set of low-lying local minimizers(corresponding to a set of different design
A. Torn   +15 more
core   +1 more source

Domestic energy management methodology for optimizing efficiency in Smart Grids [PDF]

open access: yes, 2009
Increasing energy prices and the greenhouse effect lead to more awareness of energy efficiency of electricity supply. During the last years, a lot of domestic technologies have been developed to improve this efficiency.
Bakker, Vincent   +4 more
core   +2 more sources

Subdomain separability in global optimization

open access: yesJournal of Global Optimization, 2022
AbstractWe introduce a generalization of separability for global optimization, presented in the context of a simple branch and bound method. Our results apply to continuously differentiable objective functions implemented as computer programs. A significant search space reduction can be expected to yield an acceleration of any global optimization ...
Jens Deussen, Uwe Naumann
openaire   +4 more sources

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