[galib] Dynmatic cast problem?

[hneil@fastwebnet.it]

Hello everyone.

I'm pleased to be a part of this mailing group.  I hope you don't mind me
mailing this.  I thought one of you might be interested in a thesis topic
I'm doing.

The idea is simple.  Genetic algorithms are wonderful when it comes to tweaking
variables to finding the right mix towards achieving a specific objective.
 However, there are many variables associated with genetic algorithms that
must be tinkered and tweaked (elitism, mutation method, crossover method,
selection method).

So my idea is this:  Instead of having an enormous population of 1000 individuals,
why not split them up into 10 genetic algorithms of 100 individuals each.
 There would be a "higher order" genetic algorithm which would tweak the
settings of the lesser genetic algorithms to ensure that each is progressing
towards the objective at a reasonable rate.  For this, the fitness would
be a combination of the best individual from the population and the rate
of improvement (we will only replace those ones which fail to show a good
individual or good improvement).

What do you think?

Neil Harmon

------------------
Neil S. Harmon
hneil at clemson.edu
(864)-858-4474