bit string ga tool

I want way to represent the value of variable (X) from (1 to 16) or (1 to 32) by using Bit string type gatool (matlab optimization tool)with out repeating any value of X ?
I used this way x=x(1)+x(2)*2+x(3)*4+x(4)*8+x(5)*16 but the matlab remained running with repeating the value of x for example x=4,x=7,x=1,x=1,x=5,x=7,x=13,....etc. with out stopping

3 Comments

in this way i detected the bit string type
I still do not understand how it is different. It looks to me to be just the same as the part at the end of your previous question where you remarked about it running endlessly.

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Answers (1)

Walter Roberson
Walter Roberson on 30 Dec 2012

0 votes

If you want each value to be used exactly once, you should be using a "for" loop or a vectorized computation, not ga(). ga() does adaptive fitting on the value of each variable. If the random computations are leading towards the tendency that x(3) is (say) 0, then x(3) = 0 will be favored in the computations over x(3) = 1. ga() will not systematically try all the possibilities.
Is there a reason why you are not using IntCon and bounds of [1 16] or [1 32] ?

25 Comments

I have a Master project and needed compared to my work in the first two using MATLAB directives have been used(for loop) and the second must be using a genetic algorithm . when i using Double type (integer) the ga tool using single number(0.00 ... point)i do not need that. i want just real number so i used Bit string
It does not sound to me as if you have tried using intCon
i tried to use intCon [x,fval,exitflag] = ga(fitnessfcn,nvars,A,b,[],[],...lb,ub,nonlcon,IntCon,options) but my program have one variable X with out A or b or lb .... when i remove them(A or b ...etc) i get an error message . i want to put my program in this equation intCon. can you help me to how i can do that ????
code
function g = myfitness2(X)
LAMDA=X(1)+X(2)*2+X(3)*4+X(4)*8+X(5)*16
TYPE=1;
ITER=1000;
R1=Routing3a(TYPE,LAMDA,ITER);
g=-R1
end
-----------
i just want to put the value of LAMDA or(X) as intCon and the value of it between [1 to 16] or [1 to 32]
i reformat it
nvars = 1;
[x,fval,exitflag] = ga(@myfitness3, nvars, [], [], [], [], 1, 16, nonlcon, 1, options);
function g = myfitness3(x)
LAMBDA = X;
TYPE = 1;
ITER = 1000;
R1 = Routing3a(TYPE, LAMBDA, ITER);
g = -R1;
end
mohammed sportman
mohammed sportman on 2 Jan 2013
Edited: mohammed sportman on 2 Jan 2013
When i use the code Who sent to me i get an error like that
Function definitions are not permitted in this context.
and when i using it at command line
nvars = 1;
[x,fval,exitflag] = ga(@myfitness3, nvars, [], [], [], [], 1, 16, nonlcon, 1, options);
i get this error Undefined function or variable 'nonlcon' then i define nonlcon=1
another error appear
Undefined function or variable 'options'*.
when i correct it this error appear
Too many input arguments.
where is the error?????
function answers56718
nvars = 1;
[x,fval,exitflag] = ga(@myfitness3, nvars, [], [], [], [], 1, 16, [], 1, []);
end
function g = myfitness3(x)
LAMBDA = X;
TYPE = 1;
ITER = 1000;
R1 = Routing3a(TYPE, LAMBDA, ITER);
g = -R1;
end
I get this error
Too many input arguments.
Which routine does it complain about?
It would not hurt to get rid of the final [] making it
[x,fval,exitflag] = ga(@myfitness3, nvars, [], [], [], [], 1, 16, [], 1);
what you mean please ? i can not understand .
I get this error
Error using ==> ga at 250 Tenth input argument must be a valid structure created with GAOPTIMSET.
Which MATLAB version are you using? It appears yours might not be recent enough to support integer constraints.
Try this:
function answers56718
nvars = 1;
[x,fval,exitflag] = ga(@myfitness3, nvars, [], [], [], [], 0.5, 16.5);
end
function g = myfitness3(X)
LAMBDA = round(X);
TYPE = 1;
ITER = 1000;
R1 = Routing3a(TYPE, LAMBDA, ITER);
g = -R1;
end
version 7.12.0.635 R(2011a)
it is about 40 minutes and matalb program still running with out any result
busy
4 hours
after 4 hours i get this message
Optimization terminated: average change in the fitness value less than options.TolFun
with out round(x) i use this function
[x,fval,exitflag] = ga(@myfitness33, nvars, [], [], [], [], 1, 16);
function g = myfitness33(X)
LAMDA = X;
TYPE = 1;
ITER = 1000;
R1 = Routing3a(TYPE, LAMDA, ITER);
g = -R1;
end
Yes, that is a normal termination. Remember that ga does not know how many minima there are, so it is going to keep searching hoping to find a combination that provides a better result. Eventually the search will get to the point where searching everywhere "near" the minimum value that it found is not going to find any change in value. ga is not going to know that that means that value is the minima, it is just going to know that the changes it can detect are very very small. Eventually it will run out of steam and when it does, that is the message it would give. It is completely normal for ga.
I understand what you mean.But how do I find the solution to the problem I told you in the beginning using the method I find the right solution, but after a long period and the second method find solutions quickly, but it will not stop and, of course, repeat (all using Ga)
first one
function g =myfitness2(X)
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
LAMDA=s;
TYPE=1;
ITER=1000;
R1=Routing3a(TYPE,LAMDA,ITER);
g=-R1;
end
second way
function g =myfitness2(X)
LAMDA=X(1)+X(2)*2+X(3)*4+X(4)*8+X(5)*16
TYPE=1;
ITER=1000;
R1=Routing3a(TYPE,LAMDA,ITER);
g=-R1
end
The way to find the solution in minimal time is not to use ga() .
if i want to use the genetic algorithm in my project what i say (the ga don't support my project)
my super visor asked me to use the ga.
that is problem for me.
Then you report back to your supervisor that Yes, you can use ga, but that it is very very time consuming and that the results it produces are not better and cannot be better than a very short "for" loop, and then ask how they want you to proceed. If they tell you to go ahead with it anyhow, then you deliver the code that takes 40+ hours for something that should be a fraction of a second.
Now I notice that your Routing3a routine has an "ITER" parameter. What is the purpose of that? Is there some randomization going on in Routing3a? If Routing3a is doing some kind of searching, then it is that searching that you should be automating through ga.
mohammed sportman
mohammed sportman on 5 Jan 2013
Edited: mohammed sportman on 5 Jan 2013
Thank you Walter Roberson for your valuable with me constantly.Draft works at the expense of the number of requests accepted and rejected for optical networks.The possibility of increasing the number of services using optical fiber.Where lambda is the channel inside the optical fiber and increase the number of it means to increase the number of requests accepted. I have a major program calls paths function to find all shortest paths.We have completed the programming using MATLAB directives. Supervisors asked me to improve it using genetic function because the main business of GA in any function is optimization . And my time to complete the project narrow somewhat (few) so I tried to use tools function genetic to improvement project as a whole and by comparing running and find lamda appropriate to create a state saturation 100% where all requests are accepted (no rejection) in terms of time, but I was surprised where that time the situation normal less much of the use of genetic function. There is a part of my project is to find all paths if there was a ready function used in the genetic algorithm please help me out. And if you can help me in any part of the project, please tell me so and I will send detail required.... with my respect and appreciation
Routing3a it the main function in project.
ITER number of iteration .The more increase the accuracy of the results, but does not have many teams for my project

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on 29 Dec 2012

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