[galib] About the objetive function

Sri Kanajan kskk02 at gmail.com
Sat Jun 21 16:44:31 EDT 2008

the objective function represents your optimization goal. In mathematical
programming, this is explicitly defined as a maximization or minimization of
a specific function that tends to be dependent on your decision variables.

In a GA formulation, the objective function is reflected by the fitness
funtion. Essentially, this function is evaluated for every generation of
alleles that is generated. The fitness function is a function of all the
alleles for a specific individual. Essentially this score represents how
good that specific solution is. As the genetic algorithm progresses and
generates new individuals, individuals with a higher score are kept and used
to generate mutated individuals that potentially could have a better score.

Hope this helps.


On Sat, Jun 21, 2008 at 10:24 AM, Fábio Roberto Teodoro <
fr.teodoro at gmail.com> wrote:

> I have some doubts about the objective function. It means the raw fitness,
> the
> value of the function that I am optimizing or something else? I think the
> it
> mean the second option, but not sure.
> And why it gives me error messages when the objective function returns
> negative
> numbers?
> If someone could clarify this points...
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> galib at mit.edu
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