[galib] Combination of algorithms

[mmj10@aber.ac.uk]

I am using a combination of Levenberg-Marquardt algorithm and GA's for
this project

What I want to know, is it possible to achieve the following (which is
shown in steps below)

1. Variables are created
2. Variables are optimized by the Levenberg-Marquardt algorithm
3. Variables are stored as individuals of a population
4. The current population produces new individuals and the score for each
generation is stored
5. Repeat step 2 to 5 until the final generation is reached
6. Population is chosen where best is equal to the lowest MSE