A genetic algorithm

Fitnessfunction: f(param1, param2, param3, param4, ...) = |param1-param2| + |param2-param3| + |param3-param4| + ....
Goal: f(param1, param2, param3, param4, ...) = 0
Effects used: mutation, crossingover

Parameters:

Populationsize
Children per generation
Mutation probability	%
Desired fitness
Number of parameters
Variation of params.
Generations

Results:

Create a new Population first!

(c) 2007 Phillip Kroll