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genetic algorithm-based global optimization procedure  (MathWorks Inc)


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    MathWorks Inc genetic algorithm-based global optimization procedure
    Genetic Algorithm Based Global Optimization Procedure, 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/genetic+algorithm-based+optimization/bio_rxiv__2023__04__07__536087-110-4-8
    Average 90 stars, based on 1 article reviews
    genetic algorithm-based global optimization procedure - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Numerical modeling of residual type B aortic dissection: longitudinal analysis of favorable and unfavorable evolution.
    Article Snippet: These curves were then used for a first estimation of the Windkessel parameters using optimization procedure implemented in Matlab software based on genetic algorithm.

    Article Title: Design of quasi-zero stiffness metamaterials with high reliability via metallic architected materials
    Article Snippet: In this paper, a novel design of quasi-zero stiffness (QZS) metamaterials with high-reliability properties is proposed to extend the practical engineering applications as far as possible.. The design of the unit cells of the QZS metamaterial is inspired by the natural growth of tree trunks, which have the characteristics of a simple structure and are easy to be processed.. The high-reliability properties of QZS metamaterials are realized by introducing metallic-architected materials.

    Article Title: Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism
    Article Snippet: We first used an optimization procedure ( fmincon in MATLAB), with a lower boundary of 0 and no upper boundary, to estimate what value of σ sens was most consistent with a single k across both categories, given the reports.

    Article Title: A numerical study of the contact geometry and pressure distribution along the glenoid track.
    Article Snippet: The glenoid track geometry and the contact forces acting on the glenohumeral joint at static positions of 30, 60, 90 and 120 of abduction with 90 of external rotation were evaluated using a finite element model of the shoulder that, differently from most usual approximations, accounts the humeral head translations and the deformable-to-deformable non-spherical joint contact.. The model was based on data acquired from clinical exams of a single subject, including the proximal humerus, scapula, their respective cartilages concerning the glenohumeral joint, and the rotator cuff and deltoid muscles.. The forces acting on the glenohumeral joint were estimated using a simulation framework consisting of an optimization procedure allied with finite element analysis that seeks the minimum muscle forces that stabilize the joint.

    Article Title: Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism.
    Article Snippet: We first used an optimization procedure (fmincon in MATLAB), with a lower boundary of 0 and no upper boundary, to estimate what value of σsens was most consistent with a single k across both categories, given the reports.

    Article Title: Contrast-reversed binocular dot-pairs in random-dot stereograms for depth perception in central visual field: Probing the dynamics of feedforward-feedback processes in visual inference.
    Article Snippet: Let the response data be generated by an underlying psychometric function p(f , fth, b, λ) such that the probability of giving a correct response at fhomo = f follows this Weibull function (with parameters fth,b, and λ) p ( f , fth, b, λ ) = 0.5 + ( 0.5 − λ ) ⎡ ⎢ ⎢ ⎣1 − e − ( f fth )b ⎤ ⎥ ⎥ ⎦. (7) Let pi ≡ p(f = fi, fth, b, λ), then the probability of getting mi correct responses out of ni trials across various fi is probability = ∏ i ni! mi! (ni − mi)! pmii (1 − pi) ni − mi . (8) The set of parameters fth, b, and λ in p(f , fth, b, λ) that maximizes the logarithm of this probability is then obtained by an optimization procedure (using the fmincon function from Matlab).

    Article Title: Characterizing and using a new bi-functional catalyst to sustainably synthesize methyl levulinate from biomass carbohydrates
    Article Snippet: In recent years, significant attention has been dedicated to converting biomass carbohydrates into alkyl levulinates (biofuel additives) in alcoholic media, in search of various cheap and active solid catalysts through relatively easy pathways and from non-dangerous precursors.. The synthesis of methyl levulinate (ML) using a new Brønsted/Lewis acid sites catalyst was investigated, emphasizing the influence of three parameters (catalyst loading, the molar concentration of fructose in methanol, and reaction temperature) on the process.. The synthetized catalyst, SO4 /TiO2eLa2O3 coating Fe3O4, was characterized by different techniques (FT-IR, XRD, TGA, TEM-EDX, ICP-OES).

    Article Title: SynDISCO: A Mechanistic Modeling-Based Framework for Predictive Prioritization of Synergistic Drug Combinations Directed at Cell Signaling Networks
    Article Snippet: A genetic algorithm-based global optimization procedure implemented in Matlab was used for model calibration and estimation of unknown model parameters ( , ).



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