genetic algorithm tool (Bit string)
3 views (last 30 days)
Show older comments
%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 )
0 Comments
Answers (1)
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
See Also
Categories
Find more on Genetic Algorithm in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!