INDEX EXCEED NUMBER OF ARAY in GAPSO optimization of simulink model?

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Dawit Kefale
Dawit Kefale 2023-7-1
回答： Samay Sagar 2023-7-3
Hello there,
I downloaded a GAPSO zip code to tune simulink parameters. but the following problem appeared even if I tried repeatdly
may anyone help me?'.............
  • Index exceeds the number of array elements (100).
  • Error in GAPSO (line 54)
  • gpop=pop(index);
..nvar=18;
% ub=[6.8 265 49 65 400 60 3.5 17 17 5.5 15 70 4.5 30 15 3.8 16.2 14.2]; %Upper Bound
% lb=[2.5 255 42 40 300 40 1.5 10 12 2.5 11 55 0 18 5 0 8 5]; %Lower Bound
lb.v=-5;
ub.v=5;
popsize=100;
maxiter=500;
pc=0.9;
ncross=2*round((popsize*pc)/2);
pm=1-pc;
nmut=round(popsize*pm);
W=1;
C1=2;
C2=2;
W_RF=0.97;
%% initial population algorithm
tic
emp.Obj=[];
emp.PObj=[];
emp.v=[];
pop=repmat(emp,popsize,1);
for i=1:popsize
pop(i).Obj=lb.var+rand(1,nvar).*(ub.var-lb.var);
pop(i).PObj= STSMC_Parameters(pop(i).Obj);
pop(i).v=0;
end
[value,index]=min([pop.PObj]);
gpop=pop(index); %$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ Line 54
bpop=pop;
%% main loop algorithm
BEST=zeros(maxiter,1);
MEAN = zeros(maxiter,1);
for iter=1:maxiter
% PSO
PSOpop=PSOfunc(pop,bpop,W,C1,C2,nvar,lb,ub);
% crossover
crosspop=repmat(emp,ncross,1);
crosspop=crossover(crosspop,pop,ncross);
% mutation
mutpop=repmat(emp,nmut,1);
mutpop=mutation(mutpop,pop,nvar,nmut,popsize,lb,ub);
[pop]=[pop;PSOpop;crosspop;mutpop];
[value,index]=sort([pop.PObj]);
pop=pop(index);
gpop=pop(1);
pop=pop(1:popsize);
BEST(iter)=gpop.PObj;
MEAN(iter)=mean([pop.PObj]);
disp([' Iter = ', num2str(iter) ' BEST = ' ,num2str(BEST(iter))])
W=W*W_RF;
end
%% results algorithm
disp([ ' Best Solution = ' num2str(gpop.Obj)])
disp([ ' Best Fitness = ' num2str(gpop.PObj)])
disp([ ' MEAN = ' num2str(mean([pop.PObj]))])
disp([ ' Time = ' num2str(toc)])
figure(1)
plot(BEST(1:iter),'r','LineWidth',1.25);
hold on
plot(MEAN(1:iter),'b-.','LineWidth',1.25);
xlabel('iteration')
ylabel(' best solution')
legend(' BEST, PSO&GA' , 'MEAN, PSO&GA')
%title('PSO&GA')
%plot(BEST,'r')
%xlabel('Iteration')
%ylabel('Fitness')
%egend('BEST')
%title('GAPSO')

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回答（1 个）

Samay Sagar
Samay Sagar 2023-7-3
The error message suggests that the class names for your SVM classification are not found in the input labels. In your code, you are using the fitcsvm function with the 'ClassNames' parameter set to [1, 2], which implies that your class labels should be 1 and 2.However, it seems that your trainClusters variable contains cluster indices rather than class labels. To resolve this issue, you can convert the cluster indices to class labels before fitting the SVM model.

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