?? antenna.m
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close all
clear all
clc
% set parameter
M=80;
M2=M/10;
M3=M-M2;
T=20;
Pc=0.6;
Pm=0.004;
N=7;
Len=10;
Lenth=N*Len;
Phi=zeros(M,Lenth);
BestValue=zeros(1,T);
% Generater the first generation of the population
Chro=round(rand(M,Lenth));
Phi=DecodeChro(Chro,M,Lenth,N,Len);
Phi=pi*Phi/2046;
figure(1)
mesh(Phi)
MinFitness=zeros(1,T);
AveFitness=zeros(1,T);
for Gen=1:T
% Calculate Object fitness
Phi=DecodeChro(Chro,M,Lenth,N,Len);
Phi=pi*Phi/2046;
Fitness=CalculateObjectValue(Phi,M,N);
Sum=sum(Fitness);
CFitness=Fitness/Sum;
AveFitness(Gen)=Sum/M;
% select operation
[Cost,ind]=sort(CFitness);
MinFitness(Gen)=Fitness(ind(1));
Sel=ceil(rand(M3,1)*M);
for j=1:M3
if CFitness(ind(M2+j)) > CFitness(Sel(j))
ind(M2+j)=Sel(j);
end
end
Chro=Chro(ind(1:M),:);
% crossover operation
IndexPair=zeros(M,1);
for j=1:M
IndexPair(j)=j;
end
for j=1:M
Point=floor((M-j-1)*rand(1));
Temp = IndexPair(j) ;
IndexPair(j) = IndexPair( j + Point );
IndexPair(j+Point) = Temp;
end
for j=1:2:(M-1)
Randp=rand(1);
if Randp<Pc
P=ceil(rand(1)*(Lenth-Len));
for k=P:(P+Len-1)
Temp = Chro(j,k) ;
Chro(j,k) = Chro(j+1,k) ;
Chro(j+1,k) =Temp;
end
end
end
Chro(M,:)=Cost(1,:);
% mutation
for j=1:M
for k=1:Lenth
Randp=rand(1);
if Randp<Pm
if Chro(j,k)==1
Chro(j,k)=0;
else
Chro(j,k)=1;
end
end
end
end
end
Phi=DecodeChro(Chro,M,Lenth,N,Len);
Phi=pi*Phi/2046;
figure(2)
mesh(Phi)
figure(3)
hold on
plot( MinFitness,'r'),
plot(AveFitness,'b'),axis([0 500 0 13]);
hold off
BestPhi=zeros(1,N);
BestPhi=Phi(ind(1),:);
dr=0.8;
k=2*pi*dr;
max=0;
s=0;
Value=ones(1,201);
for f=-1:0.01:1
s=s+1;
for n=1:N
Value(1,s)=Value(1,s)+exp(i*(k*f*n+BestPhi(1,n)));
end
Value(1,s)=abs(Value(1,s));
if max<Value(1,s)
max=Value(1,s);
end
end
figure(4)
f=-1:0.01:1;
Value=Value./max;
Value=20*log10(Value);
plot(f,Value),grid;
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