I am trying to find the values of 19 free variables from my data, using the psw optimization algorithm. I got interest in seeing the evolution of the 19 variables together with the minimization of the objective function, over the iterations. I then want to compare this againnst the genetic algorithm.
with the genetic algorithm I am able to to so, and get information (see code below), but with the psw I am no cabable of doing it. With the ga, I call this function from gaoptimset('PlotFcns',{@gaplotbestf, @gapop_func},...
Can you help me with this? Thank you a lot
function [state,options,optchanged] = gapop_func(options,state,flag)
persistent best r history_min history_max
optchanged = false;
switch flag
case 'init'
best = state.Population;
assignin('base','gapopbestx',best);
case 'iter'
ibest = state.Best(end);
ibest = find(state.Score == ibest,1,'last');
bestx = state.Population(ibest,:);
best = [best; bestx];
assignin('base','gapop_max_best',history_max);
case 'done'
assignin('base','gapopbestx',best);
end
