Results 11 to 20 of about 151,552 (262)
Optimal Vehicle Pose Estimation Network Based on Time Series and Spatial Tightness with 3D LiDARs
Remote Sensing, 2021 Vehicle pose estimation is essential in autonomous vehicle (AV) perception technology. However, due to the different density distributions of the point cloud, it is challenging to achieve sensitive direction extraction based on 3D LiDAR by using the ...
Hanqi Wang +5 more
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On the Use of Compact Approaches in Evolution Strategies
Advances in Distributed Computing and Artificial Intelligence Journal, 2014 Compact evolutionary algorithms have proven to be an efficient alternative for solving optimization problems in computing environments with low processing power. In this kind of solution, a probability distribution simulates the behavior of a population,
Anderson SERGIO +2 more
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Machine-Learning-Based Parameter Estimation of Gaussian Quantum States
IEEE Transactions on Quantum Engineering, 2022 In this article, we propose a machine-learning framework for parameter estimation of single-mode Gaussian quantum states. Under a Bayesian framework, our approach estimates parameters of suitable prior distributions from measured data.
Neel Kanth Kundu +2 more
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An estimation of distribution algorithm for nurse scheduling [PDF]
Annals of Operations Research, 2007 Schedules can be built in a similar way to a human scheduler by using a set of rules that involve domain knowledge. This paper presents an Estimation of Distribution Algorithm (eda) for the nurse scheduling problem, which involves choosing a suitable scheduling rule from a set for the assignment of each nurse.
Uwe Aickelin, Jingpeng Li 0001
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Estimation of Distribution Algorithms with Fuzzy Sampling for Stochastic Programming Problems
Applied Sciences, 2020 Generating practical methods for simulation-based optimization has attracted a great deal of attention recently. In this paper, the estimation of distribution algorithms are used to solve nonlinear continuous optimization problems that contain noise. One
Abdel-Rahman Hedar +2 more
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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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Self-Adaptive Stable Mutation Based on Discrete Spectral Measure for Evolutionary Algorithms
Journal of Telecommunications and Information Technology, 2023 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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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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An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis
Mathematics, 2019 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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