genSpline - Spline-based genetic optimization class

The genSpline python package is a Spline-based genetic optimization class.

Requirements

• scipy
• numpy
• matplotlib

Installation

from the source

git clone git://github.com/mlaprise/genSpline.git
cd genSpline
sudo python setup.py install

Example

Simple Hello world example

from genSpline import *
import matplotlib.pyplot as plt

# Parametre du GA
older = 10
popSize = 30
select = 5
gen = 32
longueur = 256
nbrGenerations = 200
mutations = 10
nbrStep = 50

def fitness(x_int, y_int):
        return exp(y_int.var())

presentGeneration = Population(popSize, gen, longueur, fitness, 0.0, 1.0,
splineType='real')

sim1 = splineRelaxGA(presentGeneration)

[presentGeneration, archiveBestInd, statMeanFitness, S] = sim1.run(nbrGenerations,
older, select, mutations, 0.12, nbrStep, selecMethod='SUSSelection')

presentGeneration.Ind[S[0]].plot()