Suchergebnisse - optimization algorithm

To combat the catastrophic effects of climate change, the usage of renewable energy sources (RESs) has increased dramatically in recent years. The main drivers of the increase in solar photovoltaic (PV) system grid integrations in recent years have been lowering energy costs and pollution. Active an...

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The future of ozone (O3) pollution presents significant environmental and public health challenges worldwide. High O3 levels can harm respiratory health, exacerbating conditions such as asthma and increasing the risk of cardiovascular diseases. Addressing these challenges requires advanced spatio-te...

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This paper introduces a novel control strategy aimed at optimizing both driving comfort and propulsion power in Hybrid Electric Vehicles (HEVs). The strategy is built upon two key innovations: an Adaptive Hierarchical Smoothing Strategy (AHSS) to mitigate transient disturbances during power source a...

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With the continuous advancement of intelligent mine construction in China, the unmanned transportation link has developed into an important part of the intelligent mine system. Scenarios such as the loading and unloading area of open-pit mines are usually unstructured operating areas with complex te...

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Remaining useful life (RUL) serves as a pivotal metric for quantifying lithium-ion batteries’ state of health (SOH) in electric vehicles and plays a crucial role in ensuring their safety and reliability. In order to achieve accurate and reliable RUL prediction, a novel RUL prediction method which em...

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To establish a fundamental property database for discrete elements targeting long-fiber materials and address the issue of response surface methodology (RSM) being prone to local optima in high-dimensional nonlinear optimization, this study conducted parameter calibration experiments and validated t...

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This study aimed to investigate whether changes in progastrin-releasing peptide (ProGRP) levels correlate with treatment response and can be used to optimize clinical management of patients with small-cell lung cancer. Patients with small-cell lung cancer (any stage) receiving chemotherapy were elig...

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Abstract The development of pass‐through superconducting rock magnetometers (SRM) has greatly promoted collection of paleomagnetic data from continuous long‐core samples. The output of pass‐through measurement is smoothed and distorted due to convolution of magnetization with the magnetometer sensor...

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The aim of the study is to determine the optimal geometry and magnitude of the applied load to ensure safety and prevent delamination in a three-layered nanocomposite structure under axial mechanical loading. The structure consists of a layer of the nanomaterial tungsten disulfide (WS2) and a subst...

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In recent years, along with the traditional technology of dry grain storage and grinding before feeding, the technology of preserving crushed grain at an early stage of ripeness is widely used. These technologies do not replace each other, but objectively complement each other, that is, they exist i...

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Disaster logistics presents a highly complex decision-making challenge under conditions of uncertainty, where the timely and efficient allocation of scarce resources is essential to minimize human suffering. In this context, we propose a novel Quantum-Inspired Hyperheuristic Framework (QHHF) designe...

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This study aims to evaluate the performance of the triple-hybrid metamodel MLP-PSO-ARIMA in forecasting the frequency of dust storm days (FDSD) index across seven selected stations in Khuzestan Province during a 50-year statistical period (1970–2019). The results of the proposed triple-hybrid metamo...

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A switchable polarization beam splitter utilizing GST-on-silicon waveguides is introduced and comprehensively investigated in this paper. Based on the phase matching and mode hybridization, structural parameters of the presented device are optimized by using the particle swarm optimization algorithm...

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Uncrewed aerial vehicle (UAV) path planning in complex environments requires more waypoints to generate high-quality flight paths. However, increasing waypoint density significantly raises computational complexity and risks slow convergence or entrapment in local optima. Although Artificial Bee Colo...

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In order to confront the challenge of efficiently evaluating interior wind noise levels in passenger vehicles during the early stages of shape design, this paper proposes a methodology for predicting interior wind noise. The methodology integrates vehicle shape features with a whale optimization Xce...

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In regions characterized with great mining depths, complex topography, and intense geological activities, solely relying on lateral pressure coefficients or linear boundary conditions for predicting the in situ stress field of rock bodies can induce substantial deviations and limitations. This study...

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A number of studies have been carried out to analyze the theoretical performance of super critical carbon dioxide (S-CO₂) systems, but monitoring its actual performance when gross errors appear in measurements can be quite challenging. This paper proposes a robust data reconci...

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The estimation of electrical parameters in three-phase induction motors is necessary for tasks such as performance analysis, control design, and predictive maintenance. Nonetheless, manufacturers typically provide limited electrical data, and existing methods often require invasive testing or additi...

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Electro-technical industry takes a specific place in economy of the Russian Federation. It is connected with its serious contribution to building-up favorable conditions for developing actually all industries of economy, social and household fields, comfortable living and working conditions of peopl...

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The article describes the problems of developing neurocontrollers for controlling dynamic objects, including the complexity of forming training data sets. It is indicated that one of the known methods for training an artificial neural network controlling an object is the neuroevolutionary approach,...

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