Particle Swam Optimization Curve Fitting

Parameter fitting by Particle Swarm Optimization


Updated 30 May 2022

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This function fits the computes the Paramters of the given model that best fit the experimental measurements given, and subject to the nonlinear equality -funCEq and inequality constraints -funCInEq, and within the hyperbox between lb and ub
example is shown below
S = load('reaction');
X = S.reactants;
y = S.rate;
beta0 = S.beta;
lb = 0*beta0;
ub = 2*beta0;
penalty = 10;
popsize = 100;
maxiter = 200;
beta = PartSwarmFit(@(b)hougen(b,X),[],[], y, lb, ub, penalty, popsize, maxiter)

Cite As

Lateef Adewale Kareem (2023). Particle Swam Optimization Curve Fitting (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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