Genetic algorithm in convolution nueral network

hi gays

i use GA for extract best chrommosom in ALEXNET datastore and use SVM for classification and this my code

options = gaoptimset('CreationFcn', {@PopFunction},...
                     'PopulationSize',50,...
                     'Generations',GeLength,...
                     'PopulationType', 'bitstring',... 
                     'SelectionFcn',{@selectiontournament,tournamentSize},...
                     'MutationFcn',{@mutationuniform, 0.1},...
                     'CrossoverFcn', {@crossoverarithmetic,0.8},...
                     'EliteCount',2,...
                     'StallGenLimit',100,...
                     'PlotFcns',{@gaplotbestf},...  
                     'Display', 'iter'); 
nVars = GenomeLength; 
FitnessFcn = @FitFunc_SVM; 

[chromosome,~,~,~,~,~] = ga(FitnessFcn,nVars,options);
Best_chromosome = chromosome; % Best Chromosome
Feat_Index = find(Best_chromosome==1);
end
%%% POPULATION FUNCTION
function [pop] = PopFunction(GenomeLength,~,options)
RD = rand;  
pop = (rand(options.PopulationSize, GenomeLength)> RD); % Initial Population
end

%%% FITNESS FUNCTION   You may design your own fitness function here
function [FitVal] = FitFunc_SVM(pop)
global Data GenomeLength label_images
FeatIndex = find(pop==1); %Feature Index
X1 = Data;% Features Set
Y1 = grp2idx(label_images);% Class Information
X1 = X1(:,[FeatIndex]);
NumFeat = numel(FeatIndex);

but it give me error

Index in position 2 exceeds array bounds (must not exceed 4096).

Error in Genetic_Fit_Func>FitFunc_SVM (line 41)

X1 = X1(:,[FeatIndex]);

Error in createAnonymousFcn>@(x)fcn(x,FcnArgs{:}) (line 11)

fcn_handle = @(x) fcn(x,FcnArgs{:});

Error in makeState (line 47)

firstMemberScore = FitnessFcn(state.Population(initScoreProvided+1,:));

Error in gaunc (line 40)

state = makeState(GenomeLength,FitnessFcn,Iterate,output.problemtype,options);

Error in ga (line 398)

[x,fval,exitFlag,output,population,scores] = gaunc(FitnessFcn,nvars, ...

Error in Genetic_Fit_Func (line 25)

[chromosome,~,~,~,~,~] = ga(FitnessFcn,nVars,options);

Can any one help me please?

[souhila mehellou]

i nees help in this code too