用python编程军舰拦截导弹程序，军舰位置用坐标填入，拦截导弹考虑成本时间和拦截效率

编写一个军舰拦截导弹的模拟程序，需要用到Python的条件判断和循环结构。下面是一个简化版的示例，假设军舰和导弹都是二维空间内的点，每个单位时间内军舰和导弹都有可能移动，我们需要计算最优策略以最低成本和时间拦截导弹。

class Ship:
    def __init__(self, position):
        self.position = position
        self.cost = 0

class Missile:
    def __init__(self, start_position):
        self.start_position = start_position
        self.speed = 1  # 假设导弹每单位时间移动1格

ship_positions = [(10, 10), (20, 20)]  # 军舰位置列表
missile_start_position = (0, 0)  # 导弹初始位置

def intercept(ship, missile):
    min_cost = float('inf')
    optimal_move = None
    for direction in ['up', 'down', 'left', 'right']:
        ship_new_position = tuple(map(sum, zip(ship.position, [(0, 1)[direction == 'up'], (0, -1)[direction == 'down'],
                                                                 (1, 0)[direction == 'right'], (-1, 0)[direction == 'left']])))
        cost = calculate_distance(ship_new_position, missile_start_position)  # 模拟计算成本
        if cost < min_cost:
            min_cost = cost
            optimal_move = direction
    return min_cost, optimal_move

def calculate_distance(new_pos, start_pos):
    return ((new_pos[0] - start_pos[0]) ** 2 + (new_pos[1] - start_pos[1]) ** 2) ** 0.5

# 模拟过程
for missile in range(len(ship_positions)):
    ship = Ship(ship_positions[missile])
    _, best_direction = intercept(ship, missile_start_position)
    print(f"军舰{missile+1}在{best_direction}方向拦截导弹，成本为{ship.cost}")