Flowty Network Optimization Solver

# Flowty

Install with

pip install flowty


## Windows

Install the 64-bit version of python.

## Linux

Install Fortran to work with the BLAS and LAPACK.

On apt-get compatible distributions do

apt-get update
apt-get install libgfortran5


## Quick Start

Let's solve the vehicle routing problem with time windows.

The objective is to minimize the total cost of routing vehicles from a central depot to a set of customers. Each customer must be visited exactly once within a specified time window to deliver their required demand, each customer has a service time it takes to unload the vehicle (modeled within the out-going travel time), and each vehicle has a maximum capacity of goods to deliver. If a vehicle arrives early it is allowed to wait for the customer's time window to start.

# Vehicle Routing Problem with Time Windows

from flowty import Model, xsum
from flowty.datasets import vrp_rep

bunch = vrp_rep.fetch_vrp_rep("solomon-1987-r1", instance="R102_025")
name, n, es, c, d, Q, t, a, b, x, y = bunch["instance"]

m = Model()

# one graph, it is identical for all vehicles
g = m.addGraph(obj=c, edges=es, source=0, sink=n - 1, L=1, U=n - 2, type="B")

# adds resources variables to the graph.
# demand and capacity
graph=g, consumptionType="V", weight=d, boundsType="V", lb=0, ub=Q, name="d"
)

# travel time and customer time windows
graph=g, consumptionType="E", weight=t, boundsType="V", lb=a, ub=b, name="t"
)

# set partition constriants ensure customers are only visited once
for i in range(n)[1:-1]:
m += xsum(x * 1 for x in g.vars if i == x.source) == 1

# packing set - at most one of these variables can be set. Helps the algorithm
for i in range(n)[1:-1]:
m.addPackingSet([x for x in g.vars if i == x.source])

status = m.optimize()
print(f"ObjectiveValue {m.objectiveValue}")

# get the variable values
for var in m.vars:
if var.x > 0:
print(f"{var.name} = {var.x}")


Visit docs.flowy.ai to get to know more.

The community license is a license to the general community which may have limited features and additional restrictions. For an unlimited commercial, academic or trial license contact Flowty at info@flowty.ai.

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