AI

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• 1. GA with Complex Values data
I'm fairly new to this so bare with me :-) The problem I'm trying to solve involves a data set of complex values (real/imaginary pairs) - I've found several programs that allow for integer/bit and real numbers, but not complex - can someone point me to some source (c/c++/java)? thanks!
• 2. Multiple constraint fitness functions
Hello all. I've been having a problem with choosing an appropriate fitness function which accounts for multiple design constraints. Suppose I have a (tame!) problem with 2 design constraints. I define each fitness function as: Constraint 1: F1 = k1/(1 + d1) F1 is constraint 1's fitness. k1 is a tuning factor. d1 decreases as constraint 1 is increasingly satisfied. A similar form applies for constraint 2. I define the composite fitness as either F = F1*F2 or F = F1 + F2. As convergence is neared, it seems that for most tuning factors the fitness contribution of one constraint utterly swamps out the fitness contribution of another constraint. The GA ignores the less converged constraint, and optimises for the converging constraint instead. You'll probably be right in saying that it has to do with my inverse fitness function. I tried doing it with a mixture of a linear and inverse fitness function and the GA just ignores the linear function. How would you recommend proceeding? Use a linear fitness function for both variables? Also, I hope to write my first technical paper and publish it within several months tops. Is it OK if I reference some of your names here? Thanks.
• 3. about peaks in a benchmark problem
Hi, there, In order to know how difficult the benchmark problem is, is there any methods to prove how many peaks in this problem? Thanks, Yao
Hi, there, I feel confused about exactly how many build blocks are in a given popultion. According to the definition, there are should be around [2^chromLen, N*2^chromLen]. However, it depends on population. My question is how can I analysis how many build blocks or schemas are in a given population. Thanks, Yao

```Hi everybody and happy new year to all of you.

I am asking for your help because I am really not getting anywhere with
my project. So you guys are my last hope.

I am a newbie to data mining and I am doing my best to learn the basics
so that I get started with my project.

I guess my problem, is the fact that I am new to data mining and I have
no clue how to get started.  The approach I have been following is
trying to read books about data mining and machine learning so that I
can understand and compare all the "numerous" algorithms out there and
then try to find to the one(s) that would apply to my case.

The first problem with this approach is that I did not find any good
resources (either the subjects are treated on the surface or they are
overly made complex and hard to follow through). The second problem is
that it is incredibly time consuming.  So I am wondering if I should
continue in this path or if I should try to proceed differently.

I am sure that a lot of you guys have been in the same position and
some of you have struggled with this problem just like me.  So, I am
hopping that you guys would suggest a method that would help me get
started.

The project I am working on is related to the field of agriculture and
has as objective to try to find the best values of all the parameters
that affect the outcome (the amount of meat produced) of an animal
production (could be dairy, poultry, porch, etc...)

So as I said, the approach is to run one or more algorithms on
historical data for a certain type of production (poultry for example)
and trying to  find what should be the best values for the operating
conditions that would maximize the growth of the animals  (weight),
while trying to minimize the production costs. A few examples of the
questions that this project is trying to solve are as follows: when is
the best time and how long should the barns be light? When and how much
food should we give the animals? What is the best operating temperature
set point? When and how much cooling/heating should be done? , etc....

As you noticed, all these questions are concerned with the optimization
of the operating conditions but most importantly, the reduction of
operating costs. Huge amounts (10's of Go) of historical data for these
operating conditions are to be used for this purpose.

PS: I am trying to use the Weka learning environment (java based and
open-source).

I hope that you guys would kind enough to help me work my way trough
all of you who took the time to read this lengthy post

Cheers.

```

```Hi everybody and happy new year to all of you.

I am asking for your help because I am really not getting anywhere with
my project. So you guys are my last hope.

I am a newbie to data mining and I am doing my best to learn the basics
so that I get started with my project.

I guess my problem, is the fact that I am new to data mining and I have
no clue how to get started.  The approach I have been following is
trying to read books about data mining and machine learning so that I
can understand and compare all the "numerous" algorithms out there and
then try to find to the one(s) that would apply to my case.

The first problem with this approach is that I did not find any good
resources (either the subjects are treated on the surface or they are
overly made complex and hard to follow through). The second problem is
that it is incredibly time consuming.  So I am wondering if I should
continue in this path or if I should try to proceed differently.

I am sure that a lot of you guys have been in the same position and
some of you have struggled with this problem just like me.  So, I am
hopping that you guys would suggest a method that would help me get
started.

The project I am working on is related to the field of agriculture and
has as objective to try to find the best values of all the parameters
that affect the outcome (the amount of meat produced) of an animal
production (could be dairy, poultry, porch, etc...)

So as I said, the approach is to run one or more algorithms on
historical data for a certain type of production (poultry for example)
and trying to  find what should be the best values for the operating
conditions that would maximize the growth of the animals  (weight),
while trying to minimize the production costs. A few examples of the
questions that this project is trying to solve are as follows: when is
the best time and how long should the barns be light? When and how much
food should we give the animals? What is the best operating temperature
set point? When and how much cooling/heating should be done? , etc....

As you noticed, all these questions are concerned with the optimization
of the operating conditions but most importantly, the reduction of
operating costs. Huge amounts (10's of Go) of historical data for these
operating conditions are to be used for this purpose.

PS: I am trying to use the Weka learning environment (java based and
open-source).

I hope that you guys would kind enough to help me work my way trough
all of you who took the time to read this lengthy post

Cheers.

```

```Hello guys,
I am new to this group and you are great scholars out there. I am
asking for help because I am a beginer and I want to know whether my
ideas are correct.
If you think I can send my questions about FCMs to you(hope you will
```

```Hi there

I want to make a demo so I can learn the basics of game AI.
What I want to do is using DirectX and c/c++ create a moving player
character (Keyboard) and have a static Enemy character.  When the Player is
in a certain Range of the Enemy Character the Enemy moves towards the
player.  I understand 3D vectors and Matrices but have never done any AI and
I would love to do this to boost my confidence in it as I am at a loose end
with it at the moment.  Do you have any examples of this kind of AI in 3D?

Yours Gratefully

John

```