Resultados de búsqueda - optimization algorithm

Vehicles are now rapidly transitioning from a conventional torsion bar suspension to an in-arm suspension unit (ISU), reflecting the growing industrial demand for more compact, high-performance systems. Although the ISU system can adapt well to rough terrain, the side forces produced when the piston...

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In this paper, we consider the notion of a direct type algorithm introduced by V. A. Bondarenko in 1983. A direct type algorithm is a linear decision tree with some special properties. the concept of a direct type algorithm is determined using the graph of solutions of a combinatorial optimization p...

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Terahertz metamaterial dual-band absorbers are used for multi-target detection and high-sensitivity sensing in complex environments by enhancing information that reflects differences in the measured substances. Traditional design processes are complex and time-consuming. Machine learning-based metho...

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This work presents an intensive study of a single server finite-capacity queueing model with impatience timers which depend on the server’s states, feedback, and a single working vacation policy operating under an \(N\)-policy discipline. We examine the scenario where the server must wait for the nu...

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The dynamic vibration absorber (DVA) based on delayed fractional PID (DFOPID) can achieve a more superior vibration suppression effect. However, the strong nonlinear characteristics of the system and the computational burden resulting from its high dimensionality make solving and optimizing more cha...

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Abstract Over the past two decades, agile development has become a mainstream software engineering paradigm due to its flexibility and iterative nature. However, accurate cost estimation in agile projects remains challenging, mainly due to frequent requirement changes and data scarcity. Traditional...

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At the beginning of 2020, during the sudden outbreak of the novel coronavirus in Wuhan, the hoarding, untimeliness, lack of transparency and unreasonable distribution of rescue medical cold chain materials also exposed the drawbacks of domestic medical logistics emergency distribution. Therefore, it...

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Medical consumable orders are characterized by diverse product types, small batch sizes, frequent orders, and high customization requirements, often leading to inefficient workshop scheduling and difficulties in meeting multiple production constraints. To address these challenges, this study propose...

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Dynamic economic dispatch (DED) is a complex power system problem. The problem becomes more complex with inclusion of  electric vehicles. In the presented paper,  Improved Grey Wolf Optimizer (IGWO) is proposed to solve this complex problem. IGWO is having a better balance between exploitation and e...

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Integrated energy systems (IESs) serve as pivotal platforms for realizing the reform of energy structures. The rational planning of their equipment can significantly enhance operational economic efficiency, environmental friendliness, and system stability. Moreover, the inherent randomness and inter...

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<p>In order to achieve sustainable supply combustible development,<strong><em> </em></strong>Morocco is projecting to invest in its first natural gas importing and storage capacity by 2030. This future project should be designed for electric power plants and other secto...

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This paper presents the optimal sizing of a hybrid renewable energy system (HRES) for an isolated residential building using modified smell agent optimization (mSAO). The paper introduces a time-dependent approach that adapts the selection of the original SAO control parameters as the algorithm prog...

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This paper proposes a novel online maximum torque per ampere (MTPA) control method for permanent magnet synchronous motors (PMSMs) that addresses nonlinearities such as magnetic saturation and cross-coupling effects. A flux-linkage based nonlinear PMSM model was developed to improve the torque contr...

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A new hybrid model is proposed to address the issue of shrinkage in selective laser sintering parts, which combines the Improved Slime mould Algorithm ( ISMA) and Extreme Learning Machine ( ELM) to predict the shrinkage rate of the parts using limited input data. Firstly, three improvement strategie...

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Objective. The aim of the study is to implement and evaluate the optimization method based on the Markowitz portfolio theory. Method. The model is built using the Python programming language and the necessary libraries. Also, to solve the problem, the principles of financial theory were used - the c...

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Wireless sensor networks (WSNs) are distributed systems that present unique challenges compared to centralized networks, particularly in terms of energy consumption, service quality, and data delivery efficiency. Recent advancements in wireless multimedia sensor networks have facilitated application...

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This paper presents a methodology for optimizing an aeronautical propeller to minimize power consumption. A multi-objective approach using blade element momentum (BEM) theory and evolutionary algorithms is employed to optimize propeller design by minimizing power consumption during takeoff and top-o...

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Mechanical failures frequently occur in On-Load Tap Changers (OLTCs) during operation, potentially compromising the reliability and stability of power systems. The goal of this study is to develop an intelligent and accurate diagnostic approach for OLTC mechanical fault identification, particularly...

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Aiming to solve optimization scheduling difficulties caused by the double uncertainty of source-side photovoltaic (PV) output and load-side demand response in active distribution networks, this paper proposes a two-stage distribution robust optimization method. First, the first-stage model with the...

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Smart grids (SGs) are revolutionizing modern power systems by enhancing operational efficiency, reliability, and the integration renewable energy through advanced communication protocols, decentralized control architectures, and intelligent automation. The transmission network serves as the critical...

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