Particle Swam Optimization Curve Fitting

版本 1.0.2 (2.6 KB) 作者: Lateef Adewale Kareem

Parameter fitting by Particle Swarm Optimization

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更新时间 2022/5/30

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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)

引用格式

Lateef Adewale Kareem (2024). Particle Swam Optimization Curve Fitting (https://www.mathworks.com/matlabcentral/fileexchange/90965-particle-swam-optimization-curve-fitting), MATLAB Central File Exchange. 检索来源 2024/4/26.