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particle swarm optimization algorithm  (MathWorks Inc)


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    MathWorks Inc particle swarm optimization algorithm
    Particle Swarm Optimization 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/particle+swarm+algorithm/bio_rxiv__2025__06__25__661446-137-6-11
    Average 90 stars, based on 1 article reviews
    particle swarm optimization algorithm - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Analysis of metabolite and strain effects on cardiac cross-bridge dynamics using model linearisation techniques
    Article Snippet: The particle swarm algorithm was used in MATLAB (The MathWorks, Inc) to find the values of these parameters which minimised the following objective function.

    Article Title: Dispersion-engineered metasurfaces reaching broadband 90% relative diffraction efficiency
    Article Snippet: For the former figure of merit, the 1 st -order diffraction efficiency was calculated by Fourier transform and scalar diffraction theory, then the data was sent back to the Matlab particle swarm algorithm as feedback for the code to find the best shifts.

    Article Title: An efficient and stable approach for modeling wave propagation through poro-elastic layers within multilayered acoustical systems under normal incidence.
    Article Snippet: Layered materials are widely used for acoustic treatments due to their high performance and ease of integration.. In this article, a novel approach is presented to translate the surface normal impedance from the rear to the front surface of a layered system under normal incidence, which further provides stable and efficient predictions of the normal incidence absorption and reflection coefficients.. In addition to the classic impedance translation theory in which only one type of compressional wave is considered, by using surface normal impedance as the information propagating through the system, closed-form impedance translation relationships can be derived for coupling poro-elastic layers with other types of layers.

    Article Title: Modeling and optimizing of an actual municipal sewage plant: A comparison of diverse multi-objective optimization methods.
    Article Snippet: The activated sludge process of an actual municipal sewage treatment plant was systematically modeled, calibrated, and verified in this study.. Identified multi-objective optimization (MOO) methods were employed to optimize the process parameters of the validated model, and the optimal MOO algorithm was obtained by comparing Pareto solution sets.. The optimization model consisted of three key evaluation indicators (objective functions), which are the average effluent quality (AEQ), overall cost index (OCI), and total volume (TV) of the biochemical tank, along with 12 more process parameters (decision variables).

    Article Title: Mathematical models disentangle the role of IL-10 feedbacks in human monocytes upon proinflammatory activation
    Article Snippet: Third, the optimized solution by the MATLAB particle swarm algorithm (θ0) was used as the initial parameter guess for the MATLAB global optimization algorithm Simulated annealing.

    Article Title: Designing an Efficient Surfactant–Polymer–Oil–Electrolyte System: A Multi-Objective Optimization Study
    Article Snippet: The four objectives were assigned weights, and their weighted sum was considered as a single objective, which was solved using the particle swarm algorithm available in the MATLAB Optimization Toolbox [16].

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    Article Title: Uncovering the interleukin‐12 pharmacokinetic desensitization mechanism and its consequences with mathematical modeling
    Article Snippet: .. Two optimization methods were used: global optimization was implemented using MATLAB's particle swarm algorithm, and ensemble local optimization was implemented by randomly sampling parameter sets within optimization boundaries and locally optimizing using MATLAB's pattern search algorithm. ..

    Article Title: Uncovering the interleukin-12 pharmacokinetic desensitization mechanism and its consequences with mathematical modeling.
    Article Snippet: .. Two optimization methods were used: global optimization was implemented using MATLAB's particle swarm algorithm, and ensemble local optimization was implemented by randomly sampling parameter sets within optimization boundaries and locally optimizing using MATLAB's pattern search algorithm.38 The global optimization method provides a single, best- fitting parameter set, whereas the ensemble local optimization method provides distributions of parameter values to account for variability in the datasets used. ..



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