货物托运收费python

货物托运收费python"/>

货物托运收费python

你的问题是一个结构良好的运输问题。它可以用各种方法来解决。在

如果您想用线性规划来解决它，可以使用scipy.optimize.linprog。对于多维决策变量，对变量进行编码比较困难。在

使用scipy.optimize.linprog您可以像这样建模和解决问题：import random

import numpy as np

import scipy.optimize

LANES = 30

CARRIERS = 6

cost = np.random.rand(LANES, CARRIERS) # c

demand = np.random.rand(LANES) # b_eq

capacity = [250, 300, 500, 750, 100, 200] # b_ub

A_eq = np.zeros(LANES*CARRIERS*LANES).reshape(LANES, LANES*CARRIERS)

# Constraint for each lane, sum over the available carriers

for l in range(LANES):

for var in range(l*CARRIERS, l*CARRIERS+CARRIERS):

A_eq[l, var] = 1

A_ub = np.zeros(CARRIERS*LANES*CARRIERS).reshape(CARRIERS, LANES*CARRIERS)

# Constraint for each carrier, sum over the lanes

for c in range(CARRIERS):

for var in range(c, LANES*CARRIER