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pso algorithm  (MathWorks Inc)


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    MathWorks Inc pso algorithm
    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/pm40270084-155-5-9
    Average 90 stars, based on 1 article reviews
    pso algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    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: 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.

    Article Title: Impact of solvent and water activity on lipase selectivity and acyl migration of ARA-rich 2-monoacylglycerols in catalytic systems: Kinetic study by particle swarm optimization.
    Article Snippet: The 2-arachidonoylglycerol enzymatic alcoholysis reaction model was established and kinetic parameters were calculated to explore the effects of solvent and water activity (aw) on the lipase positional selectivity and 2-monoacylglycerol acyl migration.. Six rate constants (k1-k6) with the lowest mean square error were obtained using the particle swarm optimization algorithm, and the calculated molar concentration-time curves were well-fitted to the actual curves.. As an indicator to characterize the positional selectivity of lipase, k5/k3 was significantly associated with log P of solvent, which first increased and then decreased with the increase of aw.

    Article Title: Quadtree SBFEM-based nonlocal damage analysis for soft biological tissues with interval parameters
    Article Snippet: The interval model, which requires less prior information than probabilistic and fuzzy models, is used to describe the uncertainty of the material and geometric parameters of soft biological tissues.. A quadtree scaled boundary finite element method (quadtree SBFEM) and an optimization-based numerical algorithm are developed for the interval damage analysis of soft biological tissues.. The material is hyperelastic, and the damage behavior is described by a gradient-enhanced damage model without mesh dependence.

    Article Title: Integration of maintenance policy and statistical process monitoring for a cascade process with multiple assignable causes and random failures
    Article Snippet: This study develops an integrated model of statistical process monitoring and maintenance policy (MP) for a twostage cascade process, involving two machines in series where the output of one stage affects the next stage.. Instead of a single assignable cause (AC) affecting the quality characteristic, this production process experiences multiple ACs to more precisely simulate real conditions.. Traditional and Hotelling’s T2 charts cannot detect the specific stage in which a shift occurs; therefore, this study employs a Cause-selecting control chart.

    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: Optimization of alumina leaching from microcline using particle swarm optimization and response surface methodology.
    Article Snippet: PSO optimization was performed using a PSO algorithm developed in Matlab.



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