genetic algorithm tool (Bit string)

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mohammed sportman
mohammed sportman on 29 Dec 2012
%first way%
function g =myfitnesstest(X)
s=0;
if (X(1)==1)
s=s+1;
end
if (X(2)==1)
s=s+2;
end
if (X(3)==1)
s=s+4;
end
if (X(4)==1)
s=s+8;
end
if (X(5)==1)
s=s+16;
end
LAMDA=s;
TYPE=1;
ITER=1000;
R1=Routing3a3(TYPE,LAMDA,ITER);
g=-R1;
end
---------
%second way%
function g =myfitness2(X)
LAMDA=X(1)+X(2)*2+X(3)*4+X(4)*8
TYPE=1;
ITER=1000;
R1=Routing3a(TYPE,LAMDA,ITER);
g=-R1;
end
------ when i use this (first way) the matlab run it very very slowly. when i use (second way) the matlab run with out stopping with many solution with repeating. i want way to represent the value of X with bit string type to find the optimal solution (by using Matlab gatool )
[EDITED, Jan, code formatted]

Answers (1)

Jonathan Epperl
Jonathan Epperl on 30 Dec 2012
I can't try right now, but I am fairly certain that your first few if statements could be substituted by
s = 2.^(0:4) *X(:);
only this would be muuuuch faster, that should explain why your way 1 is so slow.
Of course we don't know what Routing3a does, so hard to help you if there's an error in there.
And lastly, it appears to me that
g=(R1);
while(g>=99)
g
break
end
is nothing but
if R1>=99
R1
end
so what is that line supposed to be doing?
  7 Comments
mohammed sportman
mohammed sportman on 8 Jan 2013
??? Error using ==> mtimes Inner matrix dimensions must agree.
Error in ==> @(b)-Routing3a(1,1+b*2.^(0:3),1000)
Error in ==> validate>@(x)fitness(x,FitnessFcnArgs{:}) at 136 fitness = @(x) fitness(x,FitnessFcnArgs{:});
Error in ==> fcnvectorizer at 14 y(i,:) = feval(fun,(pop(i,:)));
Error in ==> makeState at 47 Score = fcnvectorizer(state.Population(initScoreProvided+1:end,:),FitnessFcn,1,options.SerialUserFcn);
Error in ==> gaunc at 41 state = makeState(GenomeLength,FitnessFcn,Iterate,output.problemtype,options);
Error in ==> ga at 291 [x,fval,exitFlag,output,population,scores] = gaunc(FitnessFcn,nvars, ...
Caused by: Failure in user-supplied fitness function evaluation. GA cannot continue.

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