def MaxMinMidEndImproved(board, depth):
numWhite = MorrisGame.countNums(board.position)[0]
if depth == 0 or numWhite < 3:
board.value = staticMidEndImproved(board.position, depth)
MorrisGame.numEvaluate += 1
return board
else:
board.child = MorrisGame.genMoveMidEnd(board.position)
maxValue = float('-inf')
retBoard = None
for child in board.child:
result = MinMaxMidEndImproved(child, depth - 1)
if maxValue < result.value:
maxValue = result.value
retBoard = child
retBoard.value = maxValue
return retBoard
def MaxMinMidEnd(board, depth):
""" use MINIMAX algorithm to choose the move for 'MAX' """
numWhite = MorrisGame.countNums(board.position)[0]
if depth == 0 or numWhite < 3:
board.value = MorrisGame.staticMidEnd(board.position)
MorrisGame.numEvaluate += 1
return board
else:
board.child = MorrisGame.genMoveMidEnd(board.position)
maxValue = float('-inf')
retBoard = None
for child in board.child:
result = MinMaxMidEnd(child, depth - 1)
if maxValue < result.value:
# retBoard = result # for test
maxValue = result.value
retBoard = child
retBoard.value = maxValue
return retBoard
def MaxMinABMidEnd(board, depth, alpha, beta):
""" use Alpha-Beta pruning to choose the move for 'MAX' """
numWhite = MorrisGame.countNums(board.position)[0]
if depth == 0 or numWhite < 3:
board.value = MorrisGame.staticMidEnd(board.position)
MorrisGame.numEvaluate += 1
return board
else:
board.child = MorrisGame.genMoveMidEnd(board.position)
maxValue = float('-inf')
retBoard = None
for child in board.child:
result = MinMaxABMidEnd(child, depth - 1, alpha, beta)
if maxValue < result.value:
maxValue = result.value
retBoard = child
retBoard.value = maxValue
if maxValue >= beta:
return retBoard
elif maxValue > alpha:
alpha = maxValue
return retBoard
