def fitnessCalculator(genome,type,games,popSize,preyPop,predPop):
totalTurns = 0
print(genome)
if type == 'predator':
for i in range(games):
index = random.randint(0,popSize - 1)
print('game', i)
totalTurns += hunt(genome, preyPop[index][0], 10000, False)
else:
for i in range(games):
index = random.randint(0,popSize - 1)
print('game', i)
totalTurns += hunt(predPop[index][0], genome, 10000, False)
return totalTurns/games
def fitnessCalculator(genome,games):
totalTurns = 0
print(genome)
for i in range(games):
print('game', i)
totalTurns += hunt([0.1,0.9,0.0,0.0,0.0,0.1,0.9,0.0,0.0,0.0,0.1,0.9,0.0,0.0,0.0,0.1,0.9,0.0,0.0,0.0], genome, 10000, False)
return totalTurns/games
from hunt import *
print hunt( [1,0,0,0,0,
1,0,0,0,0,
1,0,0,0,0,
1,0,0,0,0],
[0,0,0,0,1,
0,0,0,0,1,
0,0,0,0,1,
0,0,0,0,1],
250, True)
from __future__ import print_function
from numpy import *
from scipy import stats
from hunt import *
import pylab
import copy
total = 0
games = 1
predGenome = [0.1,0.9,0.0,0.0,0.0,0.1,0.9,0.0,0.0,0.0,0.1,0.9,0.0,0.0,0.0,0.1,0.9,0.0,0.0,0.0]
preyGenome = [0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0]
for i in range(games):
total += hunt(predGenome,preyGenome,10000,False)
print(total/games)
from hunt import *
print hunt( [0.226,0.079,0.309,0.244,0.142,
0.050,0.067,0.272,0.324,0.286,
0.478,0.310,0.075,0.100,0.036,
0.028,0.407,0.102,0.217,0.247],
[0,0,0,0,1,
0,0,0,0,1,
0,0,0,0,1,
0,0,0,0,1],
1000, True)
print hunt(
[
0.154,
0.482,
0.180,
0.164,
0.019,
0.583,
0.171,
0.158,
0.077,
0.011,
0.161,
0.360,
0.107,
0.236,
0.136,
0.081,
0.729,
0.082,
0.067,
0.090,
],
[
0.016,
0.231,
0.454,
0.259,
0.004,
0.242,
0.586,
0.008,
0.050,
0.114,
0.058,
0.285,
0.424,
0.031,
0.202,
0.501,
0.043,
0.095,
0.293,
0.068,
],
1000,
True,
)
def fitnessCalculator(genome,games):
totalTurns = 0
print(genome)
for i in range(games):
totalTurns += hunt(genome, [0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0], 5000, False)
return totalTurns/games
def fitnessCalculator(preyGenome, predGenome):
fitness = hunt(predGenome, preyGenome, 10000, False)
return fitness
from hunt import *
print hunt( [0.1,0,0.9,0,0,
0.1,0,0.9,0,0,
0.1,0,0.9,0,0,
0.1,0,0.9,0,0],
[0,0,1,0,0,
0,0,1,0,0,
0,0,1,0,0,
0,0,1,0,0],
250, True)
from hunt import *
print hunt( [0.1,0.9,0,0,0,
0.1,0.9,0,0,0,
0.1,0.9,0,0,0,
0.1,0.9,0,0,0],
[0.079,0.233,0.347,0.282,0.058,
0.240,0.450,0.045,0.163,0.101,
0.249,0.244,0.174,0.063,0.269,
0.148,0.421,0.192,0.146,0.093],
1000, True)
