Kết quả tìm kiếm - optimization algorithm

Optimization techniques play a major role in real-world problems, As many cases in which decisions are made are based on random research. But choosing the optimization technology is a big challenge for the user. The cuckoo search algorithm is one of the modern optimization techniques that can repla...

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Regression testing being expensive, requires optimization notion. Typically, the optimization of test cases results in selecting a reduced set or subset of test cases or prioritizing the test cases to detect potential faults at an earlier phase. Many former studies revealed the heuristic-dependent m...

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The paper considers optimization of industrial network configuration based on industrial network simulation. A description of step-by-step industrial network design including algorithmic and mathematical models is given. An algorithm for designing the APCS (Automated Process Control System) industri...

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This article presents a symbiotic learning-based Grey Wolf Optimizer (SL-GWO) formulated through the introduction of symbiotic hunting and learning strategies to achieve a better trade-off between exploration and exploitation while standing immune to the curse of dimensionality. The proposed method...

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In this work, we explore the capabilities of multiplexed gradient descent (MGD), a scalable and efficient perturbative zeroth-order training method for estimating the gradient of a loss function in hardware and training it via stochastic gradient descent. We extend the framework to include both weig...

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Aim. To evaluate the effectiveness of the anticoagulant choice algorithm in the prevention of complications of atrial fibrillation (AF). Material and methods. Patients with AF (n=98) were included into observational prospective study. The level of adherence to treatment, risk of food interactions an...

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The rapid growth of electric vehicles (EVs) presents significant challenges for power grids, particularly in managing fluctuating demand and optimizing the placement of charging infrastructure. This study proposes an integrated framework combining deep learning, reinforcement learning, path optimiza...

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The rapid identification and categorisation of breast cancers using low-contrast MRI images presents a significant challenge due to the disease’s prevalence among women of all ages. Nowadays, it is very difficult to classify and generalise models from low-contrast MRI datasets due to the prevalence...

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Mobile robots use simultaneous localization and mapping (SLAM) techniques for generating maps of unknown environments through navigating its. In this work, firstly SLAM technique was considered based on extended Kalman filter (EKF) which it was implemented and evaluated at unknown environments with...

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Microgrids, as one of the effective methods for integrating new energy sources, play a crucial role in the new-type power systems. In microgrids with high renewable energy penetration, the objectives of renewable energy power forecasting and microgrid optimal scheduling may be misaligned. To address...

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This study explores the application and robustness of an adaptive optimal control (AOC) strategy to optimize the operation of membrane filtration systems. The proposed control is based on a constant flux model where fouling is primarily due to cake layer formation. The algorithm dynamically finds th...

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The Parrot Optimizer (PO) is a new optimization algorithm based on the behaviors of trained Pyrrhura Molinae parrots. In this paper, an improved PO (IPO) is proposed for solving global optimization problems and training the multilayer perceptron. The basic PO is enhanced by using three improvements,...

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This study presents an algorithm to automatically extract the size and body shape of a 3D scanned model. The methods used in this research include factor analysis, linear regression equation, cluster analysis, and discriminant analysis. These are used to analyze the body’s shape and choose the best...

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The greatest impact of the tomography technology currently occurs in medicine. The success is due to the fact that human body presents standardized dimensions with well-established composition. These conditions are not found in industrial objects. In industry, there is a great deal of interest in us...

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The use of algorithms in trading (algorithmic trading) is the trend of recent decades, which has largely changed the market. As part of the research, the fundamentals of algorithmic trading, it’s possible application during exchange trading, were examined in detail. An assessment was also made of th...

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Acute heart failure (AHF) and acute decompensation of chronic heart failure (ADHF) are urgent health problems. The main tasks of the managing the patients with these conditions include the achieving of optimal and stable resolution of edema and dyspnea, the tissue perfusion improving, the severity o...

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Aiming at the problem that the feature vector extracted by original Gabor transform has a high dimension and DBN ignores local information when completing face recognition, a DBN face recognition algorithm based on GCSLBP is proposed. Firstly, the algorithm improves the original Gabor transform, and...

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The article is aimed at revealing the features of the RACE-model as a model platform for optimizing the online marketing effectiveness. Achieving this goal requires solving two tasks. Firstly, the prerequisitesfor the appearance and analysis of the distinctive key elements of the step-by-step algori...

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Space development is more relevant than ever with the increasing number of satellite launches for various applications. The amount of space data collected daily is growing exponentially and many customers are interested in continuously monitoring different regions of the Earth. It often requires sti...

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Objectives. Network diagrams are used as an information support element in planning and project management processes for structuring planned work and calculating project efficiency characteristics. In order to optimize and balance resources used in projects, it becomes necessary to locate in these m...

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