Ngā hua rapu - optimization algorithm

Prompt optimization is crucial for enhancing the performance of large language models. Traditional Bayesian Optimization (BO) methods face challenges such as local refinement limitations, insufficient parameter tuning, and difficulty handling multi-objectives. This study introduces a hybrid multi-ob...

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The combination of object detection, tracking, and counting has become a widely used method. The position and angle of cameras can vary according to the deployment scenarios, which affects counting accuracy. Traditional approaches often rely on manually pre-defined counting lines or regions-of-inter...

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To enhance the aerodynamic performance of contra-rotating fan and ensure the safe working environment of mine, based on feedforward neural network agent model and genetic algorithm, the multi-objective optimization of contra-rotating fan double-row blades coupling is carried out. Initially, double-r...

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In this paper we proposes the philosophy of the Darwinian selection as synthesis method called Genetic algorithm ( GA ), and include new merit function with simple form then its uses in other works for designing one of the kinds of multilayer optical filters called high reflection mirror. Here we...

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To address the charging demand challenges brought about by the widespread adoption of electric vehicles, integrated photovoltaic–storage–charging stations (PSCSs) enhance energy utilization efficiency and economic viability by combining photovoltaic (PV) power generation with an energy storage syste...

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The functionality of unmanned aerial vehicles (UAVs) in agricultural applications was improved by optimizing the parameters of the vector bracket in a vertical takeoff and landing UAV to maximize thrust and lift-to-drag ratio. First, the results of computational fluid dynamics simulations were compa...

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Due to the complex electrochemical reactions within lithium-ion batteries and the uncertainties with respect to external environmental factors, accurately assessing their State of Health (SOH) remains a significant challenge. To improve the precision of SOH estimation, we propose an intelligent esti...

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In this work, an intelligent approach is applied for the first time in the modelling and optimization of electrospun Polyacrylonitrile/Poly(Vinylidene Fluoride) (PAN/PVdF) nanofiber properties. A genetic algorithm-based computer code was developed to optimize the architecture of an artificial neural...

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This paper introduces an innovative Decision Support System (DSS) for the local optimization of Electric Vehicles (EV) charging station placement, integrating open data with advanced operational research. In contrast to existing works that typically isolate economic, geographic, or routing factors,...

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When creating new technical solutions it is necessary to ensure the technical parameters which set cost is the lowest. It is advisable to use the principle of minimum costs and restrictions on the technical effect, as well as the external and internal parameters that characterize the information pro...

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For transformer-less operation, a wind energy generating system (WEGS) with an 8.5 kW wind turbine and a 6.6 kW Z-source inverter (ZSI) is modelled. A closed-loop control technique is employed at the load side of the WEGS to obtain a constant voltage with a fluctuating load at the output side of the...

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The driver seat's suspension system is optimized through a 3DOF quarter-vehicle model. The optimization's objectives are simultaneously minimizing the driver's acceleration and displacement. The elastic element's stiffness kd (N/m) and the damper's damping coefficient cd (Ns...

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Radial distribution networks (RDNs) often experience high power losses, voltage instability, and operational inefficiencies because of their low-voltage, high-current characteristics, and fluctuating load behavior. This study investigates the optimization of capacitor placement and sizing using the...

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The consensus algorithm is the core mechanism of blockchain and is used to ensure data consistency among blockchain nodes. The PBFT consensus algorithm is widely used in alliance chains because it is resistant to Byzantine errors. However, the present PBFT (Practical Byzantine Fault Tolerance) stil...

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Flexible AC transmission system devices can function efficiently, powerfully, and economically in congestion management through the control of the lines transmission power and the voltage of the power systems buses. However, the congestion management of power systems may affect the transient stabili...

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It is essential in interstitial Photodynamic therapy (iPDT) treatment planning to ensure a homogeneous distribution within a tumor volume using cylindrical diffusing fibers while keeping the surrounding tissue intact. Light distribution is simulated through two algorithms based on the diffusion equa...

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The rapid advancement of artificial intelligence (AI) in generating human-like text poses significant challenges in distinguishing between human-written and AI-generated content. Recent advancements in natural language generation have significantly enhanced the quality and variety of AI-generated te...

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Background: Interconnection of different power systems has a major effect on system stability. This study aims to design an optimal load frequency control (LFC) system based on a proportional-integral (PI) controller for a two-area power system. Methods: Two areas were connected through an AC tie li...

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Accurate Land Cover/Land Use (LCLU) mapping is critical for protected area management, yet previous studies of Talassemtane National Park (TNP) in Morocco have produced coarse maps with limited accuracy. This study proposes a Genetic Algorithm (GA) optimization method for ensemble classification to...

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