def apply_evolution(self):
tuples = []
total_score = 0.0
MultipleSessions.refresh_grids()
for i in range(len(self.robots)):
m = MultipleSessions(self.robots[i])
score = m.run()
total_score = total_score + score
tuples.append((self.robots[i], score))
tuples.sort(key=lambda x: x[1], reverse=True)
normalized_score = total_score / len(self.robots)
best_score = tuples[0][1]
child_robots = []
roulette_size = (POPULATION_SIZE * (POPULATION_SIZE + 1) / 2)
for i in range(POPULATION_SIZE / 2):
parent_1 = tuples[self.get_roulette_wheel_selection(roulette_size)][0]
parent_2 = tuples[self.get_roulette_wheel_selection(roulette_size)][0]
child_1, child_2 = parent_1.give_birth(parent_2)
child_robots.append(child_1)
child_robots.append(child_2)
self.num_stay_put = child_1.gene.count(5) + child_2.gene.count(5)
return Generation(self.id + 1, child_robots), normalized_score, best_score
def applyEvolution(self):
tuples = []
totalScore = 0.0
MultipleSessions.refreshGrids()
for i in range(len(self.robots)):
m = MultipleSessions(self.robots[i])
score = m.run()
totalScore = totalScore + score
tuples.append((self.robots[i], score))
tuples.sort(key=lambda x: x[1], reverse=True)
normalizedScore = totalScore / len(self.robots)
bestScore = tuples[0][1]
childRobots = []
# (TODO #5)
# fill the childRobots array with POPULATION_SIZE children
# using getRouletteWheelSelection() and Robby.giveBirth()
for new in range(POPULATION_SIZE):
father = tuples[self.getRouletteWheelSelection(POPULATION_SIZE)][0]
mother = tuples[self.getRouletteWheelSelection(POPULATION_SIZE)][0]
[child1, child2] = father.giveBirth(mother)
childRobots.append(child1)
childRobots.append(child2)
number_of_stay_puts = 0
for number in tuples:
k = number[0].gene
for nu in k:
if nu == ACTIONS.STAY_PUT:
number_of_stay_puts += 1
print tuples[0][0].gene
return (Generation(self.id + 1, childRobots), normalizedScore,
bestScore, number_of_stay_puts)
def get_score(self):
r_val = 0.0
for i in range(len(self.robots)):
m = MultipleSessions(self.robots[i])
r_val = r_val + m.run()
return r_val / len(self.robots)
def getScore(self):
rVal = 0.0
for i in range(len(self.robots)):
m = MultipleSessions(self.robots[i])
rVal = rVal + m.run()
return rVal / len(self.robots)