Results 11 to 20 of about 163,617 (218)
A review of estimation of distribution algorithms in bioinformatics
Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems.
Armañanzas Rubén +10 more
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Self-Adaptive Stable Mutation Based on Discrete Spectral Measure for Evolutionary Algorithms
In this paper, the concept of a multidimensional discrete spectral measure is introduced in the context of its application to the real-valued evolutionary algorithms. The notion of a discrete spectral measure makes it possible to uniquely define a class
Andrzej Obuchowicz +1 more
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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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An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis
This article presents a novel hybrid classification paradigm for medical diagnoses and prognoses prediction. The core mechanism of the proposed method relies on a centroid classification algorithm whose logic is exploited to formulate the classification ...
Valentino Santucci +2 more
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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
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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Distributed State Estimation for Multi-Feeder Distribution Grids
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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A factor graph based genetic algorithm
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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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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Estimation of Distribution Algorithms (EDAs) maintain and iteratively update a probabilistic model to tackle optimization problems. The Boltzmann Probability Distribution Function (Boltzmann-PDF) provides advantages when used in energy based EDAs ...
Juan De Anda-Suarez +6 more
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