【python】TSP不同算法对比

python 复制代码
import matplotlib.pyplot as plt
import networkx as nx
import networkx.algorithms.approximation as nx_app
import math

G = nx.random_geometric_graph(20, radius=0.4, seed=3)
pos = nx.get_node_attributes(G, "pos")

# Depot should be at (0,0)
pos[0] = (0.5, 0.5)

H = G.copy()


# Calculating the distances between the nodes as edge's weight.
for i in range(len(pos)):
    for j in range(i + 1, len(pos)):
        dist = math.hypot(pos[i][0] - pos[j][0], pos[i][1] - pos[j][1])
        dist = dist
        G.add_edge(i, j, weight=dist)

#cycle = nx_app.christofides(G, weight="weight")
cycle = nx_app.greedy_tsp(G)


edge_list = list(nx.utils.pairwise(cycle))


plt.figure(figsize=(8,8))
# Draw closest edges on each node only
nx.draw_networkx_edges(H, pos, edge_color="blue", width=0.5)

# Draw the route
nx.draw_networkx(
    G,
    pos,
    with_labels=True,
    edgelist=edge_list,
    edge_color="red",
    node_size=200,
    width=3,
)

print("The route of the traveller is:", cycle)
plt.show()

christofides:

greedy:

参考资料:

https://networkx.org/documentation/stable/auto_examples/drawing/plot_tsp.html

https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.greedy_tsp.html#networkx.algorithms.approximation.traveling_salesman.greedy_tsp

https://networkx.org/documentation/stable/reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.christofides.html#networkx.algorithms.approximation.traveling_salesman.christofides

相关推荐
胖咕噜的稞达鸭9 小时前
自定义shell命令行解释器自制
java·开发语言
草莓熊Lotso9 小时前
Git 分支管理:从基础操作到协作流程(本地篇)
大数据·服务器·开发语言·c++·人工智能·git·sql
报错小能手9 小时前
C++异常处理 终极及总结
开发语言·c++
u***324312 小时前
使用python进行PostgreSQL 数据库连接
数据库·python·postgresql
mit6.82415 小时前
bfs|栈
算法
青瓷程序设计15 小时前
动物识别系统【最新版】Python+TensorFlow+Vue3+Django+人工智能+深度学习+卷积神经网络算法
人工智能·python·深度学习
tobebetter952715 小时前
How to manage python versions on windows
开发语言·windows·python
F_D_Z15 小时前
数据集相关类代码回顾理解 | sns.distplot\%matplotlib inline\sns.scatterplot
python·深度学习·matplotlib
9***P33416 小时前
PHP代码覆盖率
开发语言·php·代码覆盖率
daidaidaiyu16 小时前
一文入门 LangGraph 开发
python·ai