function [conver_result,Final_result,all_result]=horseherd_process(datapass,pop_size,no_of_iter)

traindata=datapass{1};
traindata_matrix=cell2mat(traindata);
len_data=max(max(traindata_matrix));
max_val1=1;
min_val1=0;
dim=len_data;
max_range=[repmat(max_val1,[1 dim])];
min_range=[repmat(min_val1,[1 dim])];
len=length(max_range);
int_pos_data=init_pop_data(pop_size,len,max_range,min_range);
data_pass_to{1}=[];
for indr=1:pop_size
    dataele=(int_pos_data(indr,:));
    dataele=limit_chk_process(dataele,...
        max_val1,min_val1,data_pass_to);
    elechoose=dataele;
    obj_result=objective_process(datapass,elechoose);
    int_pos_data(indr,:)=dataele;
    fitness(indr)=obj_result{1};
    finalall{indr}=obj_result;
end
[maxval,maxloc]=max(fitness);
bestdata=int_pos_data(maxloc(1),:);
bestfit=maxval;
xg=bestdata;
gbestdata=int_pos_data(maxloc(1),:);
gbestfit=maxval;
xhi=gbestdata;
[rr,cc]=size(int_pos_data);
initvel=ones(rr,cc)*0.01;
iter_inc=1;% Loop counter
% Main loop
data_pass_to{1}=0;
percentagehorse=[10 20 30 40]/100;
agedata=randsrc(1,pop_size,[1 2 3 4;percentagehorse]);
wg=0.95;wh=0.9;wsoc=0.9;wim=0.8;wdefmec=0.9;wro=0.9;
giter=1;hmiter=1;sociter=1;imiter=1;roiter=1;defmeciter=1;
while iter_inc<=no_of_iter
    

     low=0.95;upp=1.05;
     giter=wg*giter;
     hmiter=hmiter*wh;

     sociter=sociter*wsoc;
     imiter=imiter*wim;
     defmeciter=defmeciter*wdefmec;

     roiter=roiter*wro;

     newpos=randsrc(1,5,1:pop_size);
     newpos2=randsrc(1,5,1:pop_size);

    for kpop=1:pop_size
        pit=int_pos_data(kpop,:);
        r=rand;
        gram=giter*(low+r*upp)*pit;
        hm=hmiter*(bestdata-pit);
        socm=sociter*(mean(int_pos_data)-pit);
        imm=imiter*(mean(int_pos_data(newpos,:))-pit);
        defmec=defmeciter*(mean(int_pos_data(newpos2,:))-pit);
        ro=roiter*(pit);

        velmalpha=gram+defmec;
        velmbeta=gram+hm+socm+defmec;
        velmgamma=gram+hm+socm+defmec+imm+ro;
        velmdel=gram+imm+ro;


        if(agedata(kpop)==1)
            initvel(kpop,:)=velmalpha;
        end

        if(agedata(kpop)==2)
            initvel(kpop,:)=velmbeta;
        end
        if(agedata(kpop)==3)
            initvel(kpop,:)=velmgamma;
        end
        if(agedata(kpop)==4)
            initvel(kpop,:)=velmdel;
        end


    end
    int_pos_data=int_pos_data+initvel;

    for indr=1:pop_size
        dataele=(int_pos_data(indr,:));
        dataele=limit_chk_process(dataele,...
            max_val1,min_val1,data_pass_to);
        elechoose=dataele;
        if(iter_inc==no_of_iter && indr==pop_size)
        datapass{21}=1;
        else
        datapass{21}=0;
        end

        obj_result=objective_process(datapass,elechoose);
        int_pos_data11(indr,:)=dataele;
        fitnessl1(indr)=obj_result{1};
        finalall{indr}=obj_result;
    end
    [maxval,maxloc]=max(fitnessl1);
    bestdata=int_pos_data11(maxloc(1),:);
    bestdatafinal=finalall{maxloc(1)};
    [best_conver_data(iter_inc),best_location(iter_inc)]=max(fitnessl1);
    final_data{iter_inc}=bestdata;
    final_alldata{iter_inc}=bestdatafinal;
    if iter_inc>=2 && best_conver_data(iter_inc)<best_conver_data(iter_inc-1)
        best_conver_data(iter_inc)=best_conver_data(iter_inc-1);
        final_data{iter_inc}=final_data{iter_inc-1};
        final_alldata{iter_inc}=final_alldata{iter_inc-1};
    end
    iter_inc=iter_inc+1;
end
conver_result=best_conver_data;
Final_result=final_data{end};
all_result=final_alldata{end};