Suchergebnisse - optimization algorithm

Accurate identification of meteoroid streams is central to understanding their origins and evolution. However, overlapping clusters and background noise hinder classification, an issue amplified for missions such as the European Space Agency’s Lunar Meteoroid Impact Observer that rely on meteor show...

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Deep learning models are widely used for their high predictive performance, but often lack interpretability. Traditional machine learning methods, such as logistic regression and ensemble models, offer greater interpretability but typically have lower predictive capacity. Feature engineering can enh...

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The subject of research in the article is the problem of classification in machine learning in the presence of imbalanced classes in datasets. The purpose of the work is to analyze existing solutions and algorithms for solving the problem of dataset imbalance of different types and different indust...

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Compliant mechanisms are often utilized in precise positioning systems but have not been thoroughly examined in vibration-aided fine CNC machining. This study aims to develop a new 02-DOF flexure stage for vibration-aided fine CNC milling. A hybrid displacement amplifier, featuring a two-lever mecha...

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This article explores an intelligent and equitable approach to collective and participatory irrigation for small farmers, with an emphasis on the democratization of water use. It examines how this equitable irrigation approach can contribute to the social economy by improving irrigation efficiency a...

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Robust and bilevel optimization share the common feature that they involve a certain multilevel structure. Hence, although they model something rather different when used in practice, they seem to have a similar mathematical structure. In this paper, we analyze the connections between different type...

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This work aims to constitute a framework dataflow based on the prediction, optimization, and characterization of optimal solutions. To this purpose, a metaheuristic optimization method is used to obtain the optimal design solutions for discrete plane frame structures considering as objective functio...

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Abstract Surrogate-assisted particle swarm optimization (SAPSO) has been proven to be efficient in solving high-dimension problems. However, the error originating from the surrogate model tends to mislead search direction and frequently traps in a local optimum. Therefore, this paper proposes error-...

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Autonomous Mobility (AM) is the next milestone in the history of the automotive industry. Radar, lidar, cameras, ultrasonic, and other sensor units provide the required information for highly automated driving and pave the way for AM. This popular and fast-developing technology aims to increase vehi...

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Electron accelerators are widely used in material modification, disinfection and sterilization, sewage treatment and other fields. However, in practical applications, the control of electron accelerator beam intensity can’t be adjusted quickly and accurately, which greatly reduces the efficiency and...

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In bilevel optimization problems, two players, the leader and the follower, make their decisions in a hierarchy, and both decisions may influence each other. Usually one assumes that both players have full knowledge also of the other player’s data. In a more realistic model, uncertainty can be quant...

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Optimizing manufacturing processes to reduce scrap and enhance process stability presents significant challenges, particularly when multiple conflicting objectives must be addressed concurrently. As the number of objectives increases, the complexity of the optimization task escalates. This difficult...

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At this stage, product packaging design is seriously homogenized, lacking unique visual elements and innovative styles, which affects consumers' memory and choices. This paper introduces AIGC (Artificial Intelligence Generated Content) visual communication technology, using automated generation...

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In this study, a multi-objective optimization procedure with embedded topology optimization was presented. The procedure simultaneously optimizes the spatial arrangement and topology of bodies in a multi-body system. The multi-objective algorithm determines the locations of supports, joints, active...

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Magnetic flux leakage (MFL) detection is widely used in the non-destructive testing of pipelines. Inversion is a key step in MFL detection, and iterative inversion based on an optimization algorithm is an effective method for constructing the 3-D profile of defects in pipelines. However, conventiona...

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Recently, interest in optimizing judging schemes for large-scale innovation competitions has grown as the complexities in evaluation processes continue to escalate. Although numerous methods have been developed to improve scoring fairness and precision, challenges such as evaluator subjectivity, wor...

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To address the modeling complexity and multi-objective collaborative optimization challenges in multi-depot and multiple unmanned aerial vehicle (UAV) delivery task planning, this paper proposes a bi-layer planning framework, which comprehensively considers resource constraints, multi-depot coordina...

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ABSTRACT The increasing size and complexity of power systems, along with fluctuating power demands, modeling inaccuracies, changes in system structures, and variations in system parameters over time, have made the Automatic Generation Control (AGC) task more challenging. A significant drop in freque...

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The importance and commercial value of wireless fidelity (Wi-Fi) technology are now widely recognized. However, the traditional Wi-Fi technology causes the throughput of access points (APs) to quickly approaches a saturated level when the number of accessing stations (STAs) is large than a specified...

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The knapsack problem is analyzed on the basis of the mathematical model, which uses the means of multicriterial optimization. The method which defines possible redundancy of the initial data set is offered for the problem. The algorithm of the transition to the task with a changed set of initial dat...

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