Finding minimum value by using min()

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Sushree Patra 2018-12-7

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https://ww2.mathworks.cn/matlabcentral/answers/434385-finding-minimum-value-by-using-min

评论： Image Analyst 2018-12-7

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I want to find minimum 10 value

i wrote

for j= 1:10
for i= 1:10
for k = 1:13
 fitness (j,i,k)=(........);%10*10*13 double
end
end
minfit(j) = min(fitness(j,:));
end
disp (minfit);

in min function it is unable to find

minimum value of .

please helpme i am not able to solfitnesse

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Image Analyst 2018-12-7

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To find the 10 minimum values of any array, just sort:

sortedValues = sort(fitness(:), 'descend');
tenMinValues = sortedValues(1:10);

If you don't want duplicated values, use unique

sortedValues = unique(fitness(:));
tenMinValues = sortedValues(1:10);

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Sushree Patra 2018-12-7

Thank you sir for the response.

Well, it is different in case of movement of krill and finding the next generation they specifically use free search operator and opposition based method for population intialization.

And I asked to the author but they don't reply.

So I am trying by myself.

Please help me if I am unable to solve.

Image Analyst 2018-12-7

I've done all the help I can do. See the FAQ

I'm not an expert in PSO-type algorithms, and haven't used them (not needed to so far).

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madhan ravi 2018-12-7

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/434385-finding-minimum-value-by-using-min#answer_351014

编辑：madhan ravi 2018-12-7

在 MATLAB Online 中打开

minFit=squeeze(min(Ofitness,[],[1 2])).'
minFit=squeeze(min(min(Ofitness))).' % in older versions of matlab thank you sir Walter

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Sushree Patra 2018-12-7

ok i post it

clc;

close all; % Close all figures (except those of imtool.)

clear; % Erase all existing variables. Or clearvars if you want.

workspace; % Make sure the workspace panel is showing.

format long g;

format compact;

fontSize = 25;

figure;

imshow('pc3.png');

hold on

%legend('Relay', 'Sink', 'Sensor');

x1 = [105,107,58,58,75,146,118,18,48,55,108,80,80];

y1 = [190,280,190,280,145,153,103,153,103,65,65,50,10];

hold on

A=100;

B=140;

plot(A,B, 'mo-', 'MarkerSize', 10,'LineWidth', 2);

hold on

% Make 75 points in set #2

Xmin = 60;

Xmax = 99;

x2 = Xmin+rand(1,50)*(Xmax-Xmin);

Ymin = 10;

Ymax= 260;

y2 = Ymin+rand(1,50)*(Ymax-Ymin);

plot(x2, y2, 'b*');

%numPoints2 = 50;

%x2 = 167*rand(numPoints2, 1);

%y2 = 302*rand(numPoints2, 1);

% Plot set 1 in red

plot(x1, y1, 'r.', 'MarkerSize', 13);

% Plot set 2 in blue

hold on;

plot(x2, y2, 'b*', 'MarkerSize', 5);

grid on;

for i=1:13

for j=1:50

%Find distances between every point in set 1 to every point in set #2.

distances(i,j) = pdist2([x1(i),y1(i)], [x2(j), y2(j)], 'euclidean');

end

minDistance(i) = min(distances(i,:));

end

% Find min distance

disp (distances);

dist1 = sqrt((x2-A).^2+(y2-B).^2)

%disp (dist1);

dist2 =sqrt((x1-A).^2+(y1-B).^2)

disp (minDistance);

a=1:40;

for i = 1:10

pop(i,:) = a(randperm(numel(a),10))

end

for i = 1:10

opo_pop(i,:) = 41-pop(i,:)

end

%Est(13,5)=zeros();

%for i=1:13

% b=1;

%for k=1:50

%for j=10*k-9:10*k

%if mod(k,10)==0

%b=b+1;

%end

s=250;

Et=16.7;

Eamp=1.97;

N=10;

data_agg=1;

Er = 36.1;

d0=30;

c=10;

for k = 1:13

for j = 1:10

for i = 1:10

Ets(k,j,i)=s*(Et+Eamp*(distances(k,pop(j,i)).^2));

%Es(i,b)=Est(i,b)+Et(i,k);

end

disp (Ets);

for k = 1:13

for j = 1:10

for i = 1:10

OEts(k,j,i)=s*(Et+Eamp*(distances(k,opo_pop(j,i)).^2));

%Es(i,b)=Est(i,b)+Et(i,k);

end

disp (OEts);

%disp(Es);

for j=1:10

for i=1:10

for k= 1:1

Etf(j,i,k)= N*data_agg*Et*(s*dist1(k,pop(j,i)))+N*s*data_agg*Et;

Erf = (N-1)*Er*s;

%Ef_total(i,k)=Etf(i,k)+Erf

end

Ef_total =Etf + Erf

for j=1:10

for i=1:10

for k= 1:1

OEtf(j,i,k)= N*data_agg*Et*(s*dist1(k,opo_pop(j,i)))+N*s*data_agg*Et;

OErf = (N-1)*Er*s;

%Ef_total(i,k)=Etf(i,k)+Erf

end

OEf_total =OEtf + OErf

for j=1:10

for i =1:10

for k = 1:13

fitness(j,i,k)= (c*pop(j,i)*1)+(c*(Ets(k,j,i)*1+Ef_total(j,i,1)*1))+(c*sqrt((distances(k,pop(j,i))-d0).^2))+(c*1);

end

%minFit(j) = min(fitness(j,:,:));

end

minFit = min(fitness,[],[1,2]);

disp(fitness);

for j=1:10

for i =1:10

for k = 1:13

Ofitness(j,i,k)= (c*opo_pop(j,i)*1)+(c*(OEts(k,j,i)*1+OEf_total(j,i,1)*1))+(c*sqrt((distances(k,opo_pop(j,i))-d0).^2))+(c*1);

end

OminFit(j) = min(Ofitness(j,:));

end

disp(Ofitness);

disp(minFit);

minfit=minFit(:);

disp(OminFit);

ominfit=OminFit(:);

Int_Fit = [minfit;ominfit]

intfitness = sort(Int_Fit)

madhan ravi 2018-12-7

在 MATLAB Online 中打开

A(:,:,1)=[1,5;6,2];
A(:,:,2)=[9,5;3,6];
B(:,:,1)=[9,2;6,3];
B(:,:,2)=[7,3;8,4];
result=[min(A(:)) min(B(:))]

Sushree Patra 2018-12-7

Thank you sir but in my code how it will fix

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