Particle Swam Optimization Curve Fitting

Parameter fitting by Particle Swarm Optimization

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)