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proposed improved pso algorithm  (MathWorks Inc)


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    MathWorks Inc proposed improved pso algorithm
    Proposed Improved Pso Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/pso+algorithm/pm39843598-82-18-39
    Average 90 stars, based on 1 article reviews
    proposed improved pso algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Optimization of microwave hyperthermia system for focused breast cancer treatment: A study using realistic digital breast phantoms.
    Article Snippet: Optimization was performed using the PSO algorithm embedded in MATLAB.

    Article Title: Optimizing the core loading pattern and fuel composition in a hexagonal small modular nuclear reactor via ANN-PSO approach
    Article Snippet: Small Modular Reactors (SMRs), such as the NuScale Power Module (NPM), have gained considerable attention in recent years.. However, significant efforts are needed to enhance safety.. The utilization of hexagonal Fuel Assemblies (FAs) offers numerous benefits from both neutronic and thermal-hydraulic perspectives.

    Article Title: Optimization of Mold Heating Structure Parameters Based on Cavity Surface Temperature Uniformity and Thermal Response Rates.
    Article Snippet: The PSO algorithm for multiobjective optimization (with temperature uniformity coefficient and thermal response rate as objectives) is enhanced using MATLAB softare R2023a (MathWorks, Natick, MA, USA).

    Article Title: A hybrid, nonlinear programming approach for optimizing passive shimming in MRI.
    Article Snippet: Funding information National Science Foundation of China, Grant/Award Number: 52293423; Zhejiang Provincial Natural Science Foundation of China, Grant/Award Number: LTGY23H180019; Basic Scientific Research Funds of Department of Education of Zhejiang Province, Grant/Award Number: KYZD202103 Abstract Background: In magnetic resonance imaging (MRI), maintaining a highly uniform main magnetic field (B0) is essential for producing detailed images of human anatomy.Passive shimming (PS) is a technique used to enhance B0 uniformity by strategically arranging shimming iron pieces inside the magnet bore.. Traditionally, PS optimization has been implemented using linear programming (LP), posing challenges in balancing field quality with the quantity of iron used for shimming.. Purpose: In this work, we aimed to improve the efficacy of passive shimming that has the advantages of balancing field quality, iron usage, and harmonics in an optimal manner and leads to a smoother field profile.

    Comparison:

    Article Title: A new method for recognizing geometric parameters of industrial robots.
    Article Snippet: .. Simulation experiment and result analysis The geometric parameters of the robot were identified by using the proposed improved PSO algorithm in comparison with the basic PSO algorithm, linearly decreasing weights-based PSO (WPSO) algorithm, and hybridization-based PSO (BPSO) algorithm in MATLAB R2016b. ..

    Hybridization:

    Article Title: A new method for recognizing geometric parameters of industrial robots.
    Article Snippet: .. Simulation experiment and result analysis The geometric parameters of the robot were identified by using the proposed improved PSO algorithm in comparison with the basic PSO algorithm, linearly decreasing weights-based PSO (WPSO) algorithm, and hybridization-based PSO (BPSO) algorithm in MATLAB R2016b. ..



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