编一个精英反向学习策略的麻雀搜索算法python代码
时间: 2023-07-23 16:19:24 浏览: 72
精英反向学习策略(Elite Backward Learning)是一种基于遗传算法的搜索算法,重点在于优秀个体的保留和利用。以下是一个简单的麻将搜索算法的 Python 代码实现:
```
import random
class MahjongState:
def __init__(self):
self.tiles = [1,1,1,2,2,2,3,3,3,4,4,4,5,5,5,6,6,6,7,7,7,8,8,8,9,9,9,10,10,10,11,11,11,12,12,12,13,13,13,14,14,14,15,15,15,16,16,16,17,17,17,18,18,18,19,19,19,20,20,20,21,21,21,22,22,22,23,23,23,24,24,24,25,25,25,26,26,26,27,27,27,28,28,28,29,29,29,30,30,30,31,31,31,32,32,32,33,33,33,34,34,34,35,35,35,36,36,36,37,37,37,38,38,38,39,39,39,40,40,40,41,41,41,42,42,42]
random.shuffle(self.tiles)
self.hand = self.tiles[:14]
self.discards = []
self.last_discard = None
self.turn = 0
def get_children(self):
children = []
for tile in self.hand:
child = MahjongState()
child.tiles = self.tiles.copy()
child.hand = self.hand.copy()
child.discards = self.discards.copy()
child.last_discard = self.last_discard
child.turn = self.turn + 1
child.hand.remove(tile)
child.discards.append(tile)
child.last_discard = tile
children.append(child)
return children
def is_goal(self):
return len(self.discards) == 14
def evaluate(self):
return len(self.discards)
class EliteBackwardLearning:
def __init__(self, population_size, elite_size, mutation_rate):
self.population_size = population_size
self.elite_size = elite_size
self.mutation_rate = mutation_rate
def run(self, init_state):
population = [init_state]
for i in range(self.population_size - 1):
population.append(MahjongState())
while True:
population.sort(key=lambda x: x.evaluate(), reverse=True)
elite = population[:self.elite_size]
new_population = elite.copy()
while len(new_population) < self.population_size:
parent1 = random.choice(elite)
parent2 = random.choice(elite)
child = MahjongState()
child.tiles = parent1.tiles.copy()
child.hand = parent1.hand.copy()
child.discards = parent1.discards.copy()
child.last_discard = parent1.last_discard
child.turn = parent1.turn
for i in range(len(child.hand)):
if random.random() < self.mutation_rate:
child.hand[i] = random.choice(child.tiles)
new_population.append(child)
population = new_population
if population[0].is_goal():
return population[0]
```
以上是一个基于遗传算法的搜索算法的 Python 代码实现,用于解决麻将游戏问题。