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Select one of the following projects. You may work with one other fellow student and submit a collaborative project. In that case, indicate your partner
Select one of the following projects. You may work with one other fellow student and submit a
collaborative project. In that case, indicate your partners name in your submission.
Compare and contrast the labelling methods of Ford and Fulkerson for the maximum flow
problem and of Dijkstra for the shortest distance. Explain clearly how they are similar, and
how they differ and illustrate with an example. So as to more easily compare the methods, use
a moderately complicated network in which the flow capacities for the maximal flow problem
are the same as the distances for the shortest distance problem.
Pick an international location, which is not a major destination so is not the hub for any
airline. Determine the cheapest route oneway fares only to fly from Milwaukee to this
location. To get to this location, there must be at least stopovers enroute preferably
more and several different routes available. Be sure to draw the capacitated network as well
as identifying the cheapest route. Also provide evidence of the fares for each segment. As
an added exploration, you might determine the route of the shortest travel time, including
waiting between flights.
Identify any other application of network flows, describe the application, and illustrate it with
an example.
The course web page on canvas has the following papers available in the module Homework
On the history of the transportation and maximum flow problems
The Pseudoflow Algorithm: A New Algorithm for the MaximumFlow Problem
Fast Shortest Path Distance Estimation in Large Networks
Mapping the MPM maximum flow algorithm on GPUs
Maximum Flows by Incremental BreadthFirst Search
A survey of network flow applications
Maximum flow in road networks with speeddependent capacities application to Bangkok
traffic
Efficient Maximum Flow Algorithms
Computing Maximum Flow with Augmenting Electrical Flows
Towards shortest path identification on large networks
For one of the above papers,
a write a report summarizing the paper; andor
b solve an example to illustrate the results in the paper.
Be sure to describe the network flow aspects of the paper in mathematical detail, where
possible
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