Results 21 to 30 of about 7,447,344 (290)

Global Optimality in Low-Rank Matrix Optimization [PDF]

open access: yesIEEE Transactions on Signal Processing, 2017
This paper considers the minimization of a general objective function $f(X)$ over the set of rectangular $n\times m$ matrices that have rank at most $r$. To reduce the computational burden, we factorize the variable $X$ into a product of two smaller matrices and optimize over these two matrices instead of $X$. Despite the resulting nonconvexity, recent
Zhihui Zhu   +3 more
openaire   +3 more sources

Neural Network Algorithm with Dropout Using Elite Selection

open access: yesMathematics, 2022
A neural network algorithm is a meta-heuristic algorithm inspired by an artificial neural network, which has a strong global search ability and can be used to solve global optimization problems.
Yong Wang, Kunzhao Wang, Gaige Wang
doaj   +1 more source

Diffusions for Global Optimization

open access: yesSIAM Journal on Control and Optimization, 1986
We seek a global minimum of $U:[0,1]^n \to R$. The solution to $({d / {dt}})x_t = - \nabla U(x_t )$ will find local minima. The solution to $dx_t = - \nabla U(x_t )dt + \sqrt {2T} dw_t $, where w is standard (n-dimensional) Brownian motion and the boundaries are reflecting, will concentrate near the global minima of U, at least when “temperature” T is ...
Geman, Stuart, Hwang, Chii-Ruey
openaire   +2 more sources

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

Biased random-key genetic algorithm for bound-constrained global optimization [PDF]

open access: yes, 2012
Global optimization seeks a minimum or maximum of a multimodal function over a discrete or continuous domain. In this paper, we propose a biased random-key genetic algorithm for finding approximate solutions for continuous global optimization problems ...
R. M. A. Silva   +3 more
core   +1 more source

Topology optimization of analog circuit design via global optimization using factorization machines with digital annealer

open access: yesJournal of Advanced Mechanical Design, Systems, and Manufacturing
This study delves into the automatic analog circuit design, focusing primarily on topology optimization. Many real-world calculations and evaluations often involve complex and nonlinear problems, posing significant challenges in optimization.
Masaharu HIDA   +4 more
doaj   +1 more source

Machine learning for global optimization [PDF]

open access: yesComputational Optimization and Applications, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CASSIOLI, ANDREA   +4 more
openaire   +6 more sources

3D NoC Low-Power Mapping Optimization Based on Improved Genetic Algorithm

open access: yesMicromachines, 2021
Power optimization is an important part of network-on-chip(NoC) design. This paper proposes an improved algorithm based on genetic algorithm on how to properly map IP (Intellectual Property) cores to 3D NoC.
Yu Gan, Hong Guo, Ziheng Zhou
doaj   +1 more source

Thermodynamics of Global Optimization

open access: yesPhysical Review Letters, 1998
Theoretical design of global optimization algorithms can profitably utilize recent statistical mechanical treatments of potential energy surfaces (PES's). Here we analyze a particular method to explain its success in locating global minima on surfaces with a multiple-funnel structure, where trapping in local minima with different morphologies is ...
Doye, J, Wales, D
openaire   +1 more source

Global descent methods for unconstrained global optimization

open access: yes, 2010
Global descent method, Global optimization, Local search, Modified function approach, Non-convex optimization,
D. Li   +7 more
core   +1 more source

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