f

#### slow optimization using nonlcon with GA within matlab toolbox and mixed integer problem using GA within Matlab

```greeting all,

i'm using nonlcon(nonlinear inequality constraint) with GA from the toolbox provided by matlab. does anyone notice the extreme slowlness in evaluating nonlinear constraint as compared to other linear constraint?

my problem for nonlinear constraint is as follow
c(1)=x+y^2-2*ones(N,1)
where x and y are Nx1 vector.
which means if N increases, the size of constraint increases.

and to clarify, the min problem is sometime like
min c'z
where z=[x;y], which means x and y are some range of variable within z(just a matter of problem formulation)

well, is there anyone with other alternative or is it possible or method in including non-linear constraint directly to fitness function?
(well, actually nonlcon deals nonlinear constraint by using Augmented Lagrangian Pattern Search from what i see from the help file, or am i wrong?)

and one more question, is there anyone that attempt to attempt to apply mixed integer problem into the GA in matlab?
For now, i can only switch before pure integer or pure real number problem, but not mixed at the moment. I will be trying to add in some repair operator to fix up the variable that needs to be integer and other remaining in real number.
``` 0 5/11/2011 3:53:04 AM comp.soft-sys.matlab  211265 articles. 25 followers. 3 Replies 2872 Views Similar Articles

[PageSpeed] 56

```I'm not sure why you are using ga to solve your problem. Did you find
fmincon unsatisfactory in any way?

Alan Weiss
MATLAB mathematical toolbox documentation

On 5/10/2011 11:53 PM, terry wrote:
> greeting all,
>
> i'm using nonlcon(nonlinear inequality constraint) with GA from the
> toolbox provided by matlab. does anyone notice the extreme slowlness in
> evaluating nonlinear constraint as compared to other linear constraint?
>
>
>
> my problem for nonlinear constraint is as follow
> c(1)=x+y^2-2*ones(N,1)
> where x and y are Nx1 vector.
> which means if N increases, the size of constraint increases.
>
> and to clarify, the min problem is sometime like
> min c'z
> where z=[x;y], which means x and y are some range of variable within
> z(just a matter of problem formulation)
>
>
> well, is there anyone with other alternative or is it possible or method
> in including non-linear constraint directly to fitness function?
> (well, actually nonlcon deals nonlinear constraint by using Augmented
> Lagrangian Pattern Search from what i see from the help file, or am i
> wrong?)
>
>
>
>
> and one more question, is there anyone that attempt to attempt to apply
> mixed integer problem into the GA in matlab?
> For now, i can only switch before pure integer or pure real number
> problem, but not mixed at the moment. I will be trying to add in some
> repair operator to fix up the variable that needs to be integer and
> other remaining in real number.

``` 0 5/11/2011 12:22:41 PM
```Actually, i'm just doing some research and testing GA ability to solve problem. by right, it should be able to be suited to most type of linear programming, thought it may be inefficient and slower in all way.

Alan Weiss <aweiss@mathworks.com> wrote in message <iqdv2h\$sug\$1@newscl01ah.mathworks.com>...
> I'm not sure why you are using ga to solve your problem. Did you find
> fmincon unsatisfactory in any way?
>
> Alan Weiss
> MATLAB mathematical toolbox documentation
>
> On 5/10/2011 11:53 PM, terry wrote:
> > greeting all,
> >
> > i'm using nonlcon(nonlinear inequality constraint) with GA from the
> > toolbox provided by matlab. does anyone notice the extreme slowlness in
> > evaluating nonlinear constraint as compared to other linear constraint?
> >
> >
> >
> > my problem for nonlinear constraint is as follow
> > c(1)=x+y^2-2*ones(N,1)
> > where x and y are Nx1 vector.
> > which means if N increases, the size of constraint increases.
> >
> > and to clarify, the min problem is sometime like
> > min c'z
> > where z=[x;y], which means x and y are some range of variable within
> > z(just a matter of problem formulation)
> >
> >
> > well, is there anyone with other alternative or is it possible or method
> > in including non-linear constraint directly to fitness function?
> > (well, actually nonlcon deals nonlinear constraint by using Augmented
> > Lagrangian Pattern Search from what i see from the help file, or am i
> > wrong?)
> >
> >
> >
> >
> > and one more question, is there anyone that attempt to attempt to apply
> > mixed integer problem into the GA in matlab?
> > For now, i can only switch before pure integer or pure real number
> > problem, but not mixed at the moment. I will be trying to add in some
> > repair operator to fix up the variable that needs to be integer and
> > other remaining in real number.
``` 0 5/12/2011 6:29:05 AM
```Nonlinear constraints are difficult (slow) to solve using GA. For
details of the algorithm, see

Alan Weiss
MATLAB mathematical toolbox documentation

On 5/12/2011 2:29 AM, terry wrote:
> Actually, i'm just doing some research and testing GA ability to solve
> problem. by right, it should be able to be suited to most type of linear
> programming, thought it may be inefficient and slower in all way.
>
>
> Alan Weiss <aweiss@mathworks.com> wrote in message
> <iqdv2h\$sug\$1@newscl01ah.mathworks.com>...
>> I'm not sure why you are using ga to solve your problem. Did you find
>> fmincon unsatisfactory in any way?
>>
>> Alan Weiss
>> MATLAB mathematical toolbox documentation
>>
>> On 5/10/2011 11:53 PM, terry wrote:
>> > greeting all,
>> >
>> > i'm using nonlcon(nonlinear inequality constraint) with GA from the
>> > toolbox provided by matlab. does anyone notice the extreme slowlness in
>> > evaluating nonlinear constraint as compared to other linear constraint?
>> >
>> >
>> >
>> > my problem for nonlinear constraint is as follow
>> > c(1)=x+y^2-2*ones(N,1)
>> > where x and y are Nx1 vector.
>> > which means if N increases, the size of constraint increases.
>> >
>> > and to clarify, the min problem is sometime like
>> > min c'z
>> > where z=[x;y], which means x and y are some range of variable within
>> > z(just a matter of problem formulation)
>> >
>> >
>> > well, is there anyone with other alternative or is it possible or
>> method
>> > in including non-linear constraint directly to fitness function?
>> > (well, actually nonlcon deals nonlinear constraint by using Augmented
>> > Lagrangian Pattern Search from what i see from the help file, or am i
>> > wrong?)
>> >
>> >
>> >
>> >
>> > and one more question, is there anyone that attempt to attempt to apply
>> > mixed integer problem into the GA in matlab?
>> > For now, i can only switch before pure integer or pure real number
>> > problem, but not mixed at the moment. I will be trying to add in some
>> > repair operator to fix up the variable that needs to be integer and
>> > other remaining in real number.

``` 0 5/12/2011 12:43:17 PM Similar Artilces:

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Hey all, I am having some trouble with AM demodulation using MATLAB. I used the built-in MATLAB function butter to design a low pass filter and using the transfer function obtained, I filtered the modulated signal multiplied by the carrier. Here's the part of my m-file which deals with it: dam=cos(2*pi*250*t).*am; % am=amplitude modulated signal [b,a]=butter(5,250*2*Ts); %designing low pass filter with corner freq 250Hz, Ts-sampling %interval dam(:,1) = filtfilt(b,a,dam(:,1)); % filtering the demodulated signal dam=dam*2; %scaling to get original amplitude back the problem is that I'm trying to filter the signal without using the built in matlab functionality. I tried to multiply the transfer function of filter with the fourier transfer of dam (fft(dam)) to low pass filter it and then took the inverse fft of the answer, but came up with a weird answer when i tried to plot the demodulated signal. could someone tell me what i'm doing wrong when i am trying to filter it? Is there any other way around this without using built-in matlab functions? Thanks a lot in advance. -Farah. <farah727rash@gmail.com> wrote in message news:1156009534.298850.217080@b28g2000cwb.googlegroups.com... > Hey all, > I am having some trouble with AM demodulation using MATLAB. I used the > built-in MATLAB function butter to design a low pass filter and using > the transfer function obtained, I filtered the modulated signal > multiplied by the carrier. Here'... Web resources about - slow optimization using nonlcon with GA within matlab toolbox and mixed integer problem using GA within Matlab - comp.soft-sys.matlab Local Search Optimization - Your Business First - Local SEO
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