随机用户平衡SUE代码
时间: 2024-09-24 07:11:53 浏览: 23
随机用户均衡(Random User Equilibrium,RUE)是一种在网络路由选择模型中常用的分析方法,它假设每个用户都独立地基于成本最小化原则选择自己的路径。在实际的算法实现中,如Python,可能会涉及到模拟用户的决策过程和网络流量的动态调整。
以下是一个简单的伪代码示例,用于描述如何在Python中实现随机用户均衡:
```python
class Router:
def __init__(self, cost_matrix):
self.cost_matrix = cost_matrix
def user_choice(user_id, routers):
# 用户计算到达各个路由器的成本
costs = [routers[r].cost for r in routers]
min_cost = min(costs)
# 挑选成本最低的路由器
return costs.index(min_cost)
def adjust_routes(users, current_routes, tolerance):
new_routes = {}
while True:
changed = False
for user, router in current_routes.items():
new_router = user_choice(user, current_routes)
if new_router != router and distance(new_routes[new_router], user) < tolerance:
changed = True
current_routes[user] = new_router
if not changed:
break
return new_routes
# 假设cost_matrix存储了每个路由器到所有用户的成本矩阵
routers = {i: Router(cost_matrix[i]) for i in range(len(cost_matrix))}
# 初始化用户路线,这里为了简单起见,可以随便设置
initial_routes = {user: random.choice(list(routers.keys())) for user in users}
# 使用RUE算法迭代优化路线直到收敛
final_routes = adjust_routes(users, initial_routes, some_tolerance_value)