Results 21 to 30 of about 6,941,251 (285)

Neural Network Algorithm with Dropout Using Elite Selection

Mathematics, 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

SIAM 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 ...
Geman, Stuart, Hwang, Chii-Ruey
openaire   +2 more sources

Agent-based Optimization of Advisory Strategy Parameters

Journal 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, Mateusz Kumięga, Aleksander Byrski   +2 more
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Subdomain separability in global optimization

Journal 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
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Machine learning for global optimization [PDF]

Computational Optimization and Applications, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CASSIOLI, ANDREA, DI LORENZO, DAVID, M. Locatelli, SCHOEN, FABIO, SCIANDRONE, MARCO   +4 more
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Topology optimization of analog circuit design via global optimization using factorization machines with digital annealer

Journal 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, Hiroshi IKEDA, Akito MARUO, Masaru SATO, Takashi YAMAZAKI   +4 more
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3D NoC Low-Power Mapping Optimization Based on Improved Genetic Algorithm

Micromachines, 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
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Global Optimization of Gaussian processes

CoRR, 2020
Gaussian processes~(Kriging) are interpolating data-driven models that are frequently applied in various disciplines. Often, Gaussian processes are trained on datasets and are subsequently embedded as surrogate models in optimization problems. These optimization problems are nonconvex and global optimization is desired.
Schweidtmann, Artur M., Bongartz, Dominik, Grothe, Daniel, Kerkenhoff, Tim, Lin, Xiaopeng, Najman, Jaromil, Mitsos, Alexander   +6 more
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Strengthening Community Antimicrobial Stewardship in Africa: A Systematic Review of the Roles, Challenges, and Opportunities of Community Health and Animal Health Workers [version 1; peer review: 1 approved, 1 approved with reservations]

Wellcome Open Research
Antimicrobial resistance (AMR) remains a critical global health challenge, and is mainly due to inappropriate antimicrobial use in human and animal health sectors.
Dathan Byonanebye, Mackline Hope, Reuben Kiggundu, Fahad Lwaigale, Herman Mwanja, Andrew Kambugu, Conrad Tumwine, JP Waswa, Hannigton Katumba, Vivian Twemanye, Flavia Dhikusooka, Francis Kakooza   +11 more
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Thermodynamics of Global Optimization

Physical 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