I m 撰写一幅关于虚拟有机体最佳系列移动的 p子的遗传学算法,它将使其成为2D-格网中最随机替代的食物。 它没有情报;它只是在环绕圈或广场移动。 我为生物体所居住的环境创建2D阵列的守则就是:
grid = ([])
for i in range(5):
grid[i]=0
for j in range(5):
grid[i][j]=0
(board[4][5] means 4,5 in x, y; and the value of board[4][5] is 0 or 1, depending on whether or not the space is occupied. Right now the program is really just assigning a zero-value to each space, indicating no individual is there)
它只是说“从范围外的列表转让指数”。 如何解决这一问题? 这样,谁知道如何为生物创造2D环境?
现在,你的阵列只是一个因素,你在阵列之外重新指数化。 引言
grid = [[[] for x in xrange(5)] for y in xrange(5)]
取代你的电网。 现在,这将给你5个电网,现在,你可以把电网指数化[3][4]。
可能需要对您的称职职能进行大量评价,因此,高效执行对你非常有益。 Numpy在盒子外提供多功能阵列。
numpy.zeros((5, 5))
它将给你5×5阵列,填满零。 Numpy还提供冰箱,如计值的发生,其速度将快于纯粹的“灰色”执行。
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