def randomPosition(seed=None):
'''Draws a single random position, uniformly in in the interval
(0,1(.'''
if seed is not None:
from random import seed as setSeed
setSeed(seed)
from random import uniform
return uniform(0.0,1.0)
def randomPosition(seed=None):
'''Draws a single random position, uniformly in in the interval
(0,1(.'''
if seed is not None:
from random import seed as setSeed
setSeed(seed)
from random import uniform
return uniform(0.0, 1.0)
def makeRandomPositions(noPositions, seed=None):
'''Make a list of noPositions random positions between 0
(included) and 1 (excluded).
The optional seed parameter enables you to draw positions with a
fixed seed (i.e. deterministically) for testing purposes.'''
if seed is not None:
from random import seed as setSeed
setSeed(seed)
from random import uniform
positions = []
for i in xrange(noPositions):
positions.append(uniform(0.0,1.0))
positions.sort()
return positions
def makeRandomPositions(noPositions, seed=None):
'''Make a list of noPositions random positions between 0
(included) and 1 (excluded).
The optional seed parameter enables you to draw positions with a
fixed seed (i.e. deterministically) for testing purposes.'''
if seed is not None:
from random import seed as setSeed
setSeed(seed)
from random import uniform
positions = []
for i in xrange(noPositions):
positions.append(uniform(0.0, 1.0))
positions.sort()
return positions
exit(1)
seed = args['s']
vertexCount = 0
if args['n']:
vertexCount = args['n']
graph = genGraph(vertexCount,
costMedian=10,
costDeviation=5,
seed=seed)
if args['i']:
graph = Graph.load(args['i'])
vertexCount = len(graph.vertices())
setSeed(seed)
generations = args['g']
eliteSize = args['e']
if eliteSize is None:
eliteSize = int(vertexCount * 0.3)
mutationRate = args['m']
if mutationRate is None:
mutationRate = 10.0 / vertexCount
startTime = time()
bestPath, progress, lastGeneration = evolutionaryAlgorithm(
graph, generations, eliteSize, mutationRate)
end = int((time() - startTime) * 1000)
