gaevolve

A simple but flexible tool to implement genetic algorithms

Description

This function is a simple but flexible and usefull tool to implement genetic optimization algorithms that work with populations of custom units. This tool allows to customize the fitness function, the stopping criteria and the cross-over and mutation operators. This is a simple tool, written in 200 lines of code (100 lines of comments and 100 of real code!) but that has shown its usefulness in a lot of research applications finding interesting results .

• MATLAB release: MATLAB 6.5 (R13)

[Yael Vsh]

A very useful skeleton that was great as a starting point to GA's, and was easy to fit to my own needs. helped me a lot, thanx!
Yael.

[Sarayut Nonsiri]

Thanks a lot.