Risultati della ricerca - Particle swarm optimization algorithm

Aiming to address the problem of accuracy degradation in Delta robots caused by machining accuracy, assembly precision, etc., this paper corrects the robot’s driving angles to achieve error compensation and designs a compensation algorithm based on particle swarm optimization (PSO) and BP neural net...

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Magnetic positioning technology is a novel and direct method to measure the attitude and position information of discrete particles in dense granular flow. However, owing to the need to manually set the initial value and other boundary conditions in the process of algorithm solution, the deviation b...

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The surface finish of a machined product is essential for assessing its quality and other attributes. Modeling the surface roughness and hardness of a machined component is challenging for several reasons. The present study examines the effectiveness of four meta-heuristic algorithms in optimizing s...

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Decision trees in machine learning achieved satisfactory performance in classification. Decision trees offer the advantage of handling high-dimensional and complexly correlated data through feature combination and selection. Extreme Gradient Boosting (XGBoost) overcomes the issue of overfitting in d...

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We present a method for 3D gravity inversion using ellipsoidal parametrization and Particle Swarm Optimization (PSO), aimed at estimating the geometry, density contrast, and orientation of subsurface bodies from gravity anomaly data. The subsurface is modeled as a set of prolate ellipsoids whose par...

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To meet the requirement for adaptive observation of autonomous undersea vehicles(AUVs), a data-driven ocean front tracking algorithm was designed. This algorithm constructed a hybrid temperature field prediction model based on Gaussian process regression(GPR) and particle swarm optimization(PSO). Pr...

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In this modern era cloud computing and widespread use of it have led to a massive spike in users' requests. The infrastructure's resources would either not be able to handle the increased volume of traffic or the scenario would lead to some resources being over or underutilized. Due to th...

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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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In the process of bullet design, the parameters of the interior trajectory, exterior trajectory, and terminal trajectory are interdependent, necessitating a comprehensive consideration of the entire trajectory process. To address both overall performance and design efficiency, a multi-objective opti...

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Economic Dispatch Problem (EDP) is a power system optimization problem that is required to be solved accurately using an efficient optimization technique. Hybrid optimization solutions have provided better optimum results than either deterministic or non-deterministic optimization methods. The hybr...

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In order to solve the problem of particle swarm optimization algorithm easily falling into local optimum in global path planning, according to the related theories of particle swarm optimization algorithm and pigeon-inspired optimization algorithm, the influencing factors that lead to particle swarm...

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The increasing penetration of renewable and distributed energy resources presents significant challenges for voltage regulation in modern power distribution systems. Traditional optimization-based controllers often fail to deliver reliable performance under real-time constraints and high system unce...

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In this paper, we present a unified resource allocation and mobility management algorithm based on particle swarm optimization (PSO) for indoor visible light communication (VLC) networks. We consider a VLC network where multiple LEDs serve as access points (APs). A centralized controller collects ch...

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Much research has been conducted to understand player behavior as a result of the rapid growth of online gaming. In this research, we use the Naive Bayes method optimized using Particle Swarm Optimization (PSO) to analyze the behavior classification of online game players. The classification accurac...

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In this paper, a design of a silicon mode (de)multiplexer based on cascaded counter-tapered couplers is proposed and investigated. By using the particle swarm optimization algorithm and finite difference time domain method, structural parameters of each counter-tapered coupler in our proposed mode (...

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ObjectiveDifferent from the basic layout of traditional automated three-dimensional warehouses, steel plate goods are often stacked in the automated storage and retrieval system (AS/RS) rather than stored on high-rise shelves. This difference renders the classic AS/RS storage allocation model and jo...

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As market competition intensifies, the survival and development of suppliers increasingly rely on research and development (R&D) investment and innovation. Due to the uncertainty of factors affecting supplier R&D investment, the risks faced by supplier R&D investment are also uncertain....

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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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