/usr/share/pyshared/pyevolve/Initializators.py is in python-pyevolve 0.6~rc1+svn398+dfsg-2.
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:mod:`Initializators` -- initialization methods module
===================================================================
In this module we have the genetic operators of initialization for each
chromosome representation, the most part of initialization is done by
choosing random data.
.. note:: In Pyevolve, the Initializator defines the data type that will
be used on the chromosome, for example, the :func:`G1DListInitializatorInteger`
will initialize the G1DList with Integers.
"""
from random import randint as rand_randint, uniform as rand_uniform, choice as rand_choice
import GTree
import Util
#############################
## 1D Binary String ##
#############################
def G1DBinaryStringInitializator(genome, **args):
""" 1D Binary String initializator """
genome.genomeList = [ rand_choice((0,1)) for i in xrange(genome.getListSize()) ]
#############################
## 2D Binary String ##
#############################
def G2DBinaryStringInitializator(genome, **args):
""" Integer initialization function of 2D Binary String
.. versionadded:: 0.6
The *G2DBinaryStringInitializator* function
"""
genome.clearString()
for i in xrange(genome.getHeight()):
for j in xrange(genome.getWidth()):
random_gene = rand_choice((0,1))
genome.setItem(i, j, random_gene)
####################
## 1D List ##
####################
def G1DListInitializatorAllele(genome, **args):
""" Allele initialization function of G1DList
To use this initializator, you must specify the *allele* genome parameter with the
:class:`GAllele.GAlleles` instance.
"""
allele = genome.getParam("allele", None)
if allele is None:
Util.raiseException("to use the G1DListInitializatorAllele, you must specify the 'allele' parameter")
genome.genomeList = [ allele[i].getRandomAllele() for i in xrange(genome.getListSize()) ]
def G1DListInitializatorInteger(genome, **args):
""" Integer initialization function of G1DList
This initializator accepts the *rangemin* and *rangemax* genome parameters.
"""
range_min = genome.getParam("rangemin", 0)
range_max = genome.getParam("rangemax", 100)
genome.genomeList = [rand_randint(range_min, range_max) for i in xrange(genome.getListSize())]
def G1DListInitializatorReal(genome, **args):
""" Real initialization function of G1DList
This initializator accepts the *rangemin* and *rangemax* genome parameters.
"""
range_min = genome.getParam("rangemin", 0)
range_max = genome.getParam("rangemax", 100)
genome.genomeList = [rand_uniform(range_min, range_max) for i in xrange(genome.getListSize())]
####################
## 2D List ##
####################
def G2DListInitializatorInteger(genome, **args):
""" Integer initialization function of G2DList
This initializator accepts the *rangemin* and *rangemax* genome parameters.
"""
genome.clearList()
for i in xrange(genome.getHeight()):
for j in xrange(genome.getWidth()):
randomInteger = rand_randint(genome.getParam("rangemin", 0),
genome.getParam("rangemax", 100))
genome.setItem(i, j, randomInteger)
def G2DListInitializatorReal(genome, **args):
""" Integer initialization function of G2DList
This initializator accepts the *rangemin* and *rangemax* genome parameters.
"""
genome.clearList()
for i in xrange(genome.getHeight()):
for j in xrange(genome.getWidth()):
randomReal = rand_uniform(genome.getParam("rangemin", 0),
genome.getParam("rangemax", 100))
genome.setItem(i, j, randomReal)
def G2DListInitializatorAllele(genome, **args):
""" Allele initialization function of G2DList
To use this initializator, you must specify the *allele* genome parameter with the
:class:`GAllele.GAlleles` instance.
.. warning:: the :class:`GAllele.GAlleles` instance must have the homogeneous flag enabled
"""
allele = genome.getParam("allele", None)
if allele is None:
Util.raiseException("to use the G2DListInitializatorAllele, you must specify the 'allele' parameter")
if allele.homogeneous == False:
Util.raiseException("to use the G2DListInitializatorAllele, the 'allele' must be homogeneous")
genome.clearList()
for i in xrange(genome.getHeight()):
for j in xrange(genome.getWidth()):
random_allele = allele[0].getRandomAllele()
genome.setItem(i, j, random_allele)
####################
## Tree ##
####################
def GTreeInitializatorInteger(genome, **args):
""" Integer initialization function of GTree
This initializator accepts the *rangemin* and *rangemax* genome parameters.
It accepts the following parameters too:
*max_depth*
The max depth of the tree
*max_siblings*
The number of maximum siblings of an node
*method*
The method, accepts "grow", "full" or "ramped".
.. versionadded:: 0.6
The *GTreeInitializatorInteger* function.
"""
max_depth = genome.getParam("max_depth", 5)
max_siblings = genome.getParam("max_siblings", 2)
range_min = genome.getParam("rangemin", 0)
range_max = genome.getParam("rangemax", 100)
lambda_generator = lambda: rand_randint(range_min, range_max)
method = genome.getParam("method", "grow")
if method == "grow":
root = GTree.buildGTreeGrow(0, lambda_generator, max_siblings, max_depth)
elif method == "full":
root = GTree.buildGTreeFull(0, lambda_generator, max_siblings, max_depth)
elif method == "ramped":
if Util.randomFlipCoin(0.5):
root = GTree.buildGTreeGrow(0, lambda_generator, max_siblings, max_depth)
else:
root = GTree.buildGTreeFull(0, lambda_generator, max_siblings, max_depth)
else:
Util.raiseException("Unknown tree initialization method [%s] !" % method)
genome.setRoot(root)
genome.processNodes()
assert genome.getHeight() <= max_depth
def GTreeInitializatorAllele(genome, **args):
""" Allele initialization function of GTree
To use this initializator, you must specify the *allele* genome parameter with the
:class:`GAllele.GAlleles` instance.
.. warning:: the :class:`GAllele.GAlleles` instance **must** have the homogeneous flag enabled
.. versionadded:: 0.6
The *GTreeInitializatorAllele* function.
"""
max_depth = genome.getParam("max_depth", 5)
max_siblings = genome.getParam("max_siblings", 2)
method = genome.getParam("method", "grow")
allele = genome.getParam("allele", None)
if allele is None:
Util.raiseException("to use the GTreeInitializatorAllele, you must specify the 'allele' parameter")
if allele.homogeneous == False:
Util.raiseException("to use the GTreeInitializatorAllele, the 'allele' must be homogeneous")
if method == "grow":
root = GTree.buildGTreeGrow(0, allele[0].getRandomAllele, max_siblings, max_depth)
elif method == "full":
root = GTree.buildGTreeFull(0, allele[0].getRandomAllele, max_siblings, max_depth)
elif method == "ramped":
if Util.randomFlipCoin(0.5):
root = GTree.buildGTreeGrow(0, allele[0].getRandomAllele, max_siblings, max_depth)
else:
root = GTree.buildGTreeFull(0, allele[0].getRandomAllele, max_siblings, max_depth)
else:
Util.raiseException("Unknown tree initialization method [%s] !" % method)
genome.setRoot(root)
genome.processNodes()
assert genome.getHeight() <= max_depth
####################
## Tree GP ##
####################
def GTreeGPInitializator(genome, **args):
"""This initializator accepts the follow parameters:
*max_depth*
The max depth of the tree
*method*
The method, accepts "grow", "full" or "ramped"
.. versionadded:: 0.6
The *GTreeGPInitializator* function.
"""
max_depth = genome.getParam("max_depth", 5)
method = genome.getParam("method", "grow")
ga_engine = args["ga_engine"]
if method == "grow":
root = GTree.buildGTreeGPGrow(ga_engine, 0, max_depth)
elif method == "full":
root = GTree.buildGTreeGPFull(ga_engine, 0, max_depth)
elif method == "ramped":
if Util.randomFlipCoin(0.5):
root = GTree.buildGTreeGPFull(ga_engine, 0, max_depth)
else:
root = GTree.buildGTreeGPGrow(ga_engine, 0, max_depth)
else:
Util.raiseException("Unknown tree initialization method [%s] !" % method)
genome.setRoot(root)
genome.processNodes()
assert genome.getHeight() <= max_depth
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