Results 21 to 30 of about 787,704 (278)
Simulation-Based EDAs for Stochastic Programming Problems
Computation, 2020 With the rapid growth of simulation software packages, generating practical tools for simulation-based optimization has attracted a lot of interest over the last decades. In this paper, a modified method of Estimation of Distribution Algorithms (EDAs) is
Abdel-Rahman Hedar +2 more
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Российский технологический журнал, 2021 The article discusses the possibilities of estimating the states vectors of observation objects with the nonMarkovian approximation of the trajectories.
B. A. Zaikin, A. F. Kotov
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EURASIP Journal on Wireless Communications and Networking, 2020 For the average state of the normal distribution parameter estimation, regular normal distribution parameter gives an estimation, but the carbonation depth of influence factors is more of a parameter estimation, shooting low deficiencies; therefore ...
Min Cai, Jun Yang
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A Survey of Machine Learning Assisted Continuous-Variable Quantum Key Distribution
Information, 2023 Continuous-variable quantum key distribution (CV-QKD) shows potential for the rapid development of an information-theoretic secure global communication network; however, the complexities of CV-QKD implementation remain a restrictive factor.
Nathan K. Long +2 more
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An efficient method to include equality constraints in branch current distribution system state estimation [PDF]
, 2015 Distribution system state estimation is a fundamental tool for the management and control functions envisaged for future distribution grids. The design of accurate and efficient algorithms is essential to provide estimates compliant with the needed ...
MUSCAS, CARLO +3 more
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Distributed State Estimation for Multi-Feeder Distribution Grids
IEEE Open Journal of Instrumentation and Measurement, 2022 The real-time monitoring of electric distribution grids via state estimation is a fundamental requirement to deploy smart automation and control in the distribution system.
Marco Pau +4 more
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Non-parametric statistical thresholding for sparse magnetoencephalography source reconstructions. [PDF]
, 2012 Uncovering brain activity from magnetoencephalography (MEG) data requires solving an ill-posed inverse problem, greatly confounded by noise, interference, and correlated sources.
Nagarajan, Srikantan S +2 more
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International Journal of Applied Earth Observations and Geoinformation, 2022 Leaf chlorophyll plays an important role in forest management and ecosystem balance. Hyperspectral images have been widely applied in leaf chlorophyll content (LCC) estimation.
Lu Xu +7 more
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Meta-heuristic algorithms in car engine design: a literature survey [PDF]
, 2015 Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy.
Tayarani-N, Mohammad-H. +2 more
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A factor graph based genetic algorithm
International Journal of Applied Mathematics and Computer Science, 2014 We propose a new linkage learning genetic algorithm called the Factor Graph based Genetic Algorithm (FGGA). In the FGGA, a factor graph is used to encode the underlying dependencies between variables of the problem.
Helmi B. Hoda +2 more
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