用python生成一段基于复杂网络的路径规划代码
时间: 2023-02-19 19:46:27 浏览: 48
生成路径规划代码需要先明确网络拓扑结构,以及节点之间的距离或代价信息。假设网络是一个有向图,我们可以使用 Dijkstra 算法来生成从起点到终点的最短路径。
下面是一个简单的代码实现:
```
import heapq
def dijkstra(graph, start, end):
distances = {node: float('inf') for node in graph}
distances[start] = 0
heap = [(0, start)]
while heap:
dist, current = heapq.heappop(heap)
if current == end:
return distances[end]
for neighbor, cost in graph[current].items():
new_distance = dist + cost
if new_distance < distances[neighbor]:
distances[neighbor] = new_distance
heapq.heappush(heap, (new_distance, neighbor))
return float('inf')
graph = {
'A': {'B': 1, 'C': 4},
'B': {'C': 2, 'D': 5},
'C': {'D': 1},
'D': {},
}
start = 'A'
end = 'D'
print('Shortest distance from {} to {} is {}'.format(start, end, dijkstra(graph, start, end)))
```
其中 `graph` 是存储网络拓扑结构的字典,字典的键表示节点,字典的值表示从该节点到其相邻节点的代价。输出结果显示了从起点 `A` 到终点 `D` 的最短距离。