Finding the minimum cost of an airline route using the traveling salesman problem

We present an application of the Traveling Salesman Problem (TSP) using Integer Linear Programming (ILP) via Branch-and-Bound and Heuristics via Nearest Neighbor and 2-Opt. We apply these methods to find the minimum cost of visiting 48 states in the United States of America (U.S.A.) where we have to...

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Main Authors: Su-A, Kim, Tan, Jane Lisette T.
Format: text
Language:English
Published: Animo Repository 2014
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/17997
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-18510
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-185102022-01-05T00:46:02Z Finding the minimum cost of an airline route using the traveling salesman problem Su-A, Kim Tan, Jane Lisette T. We present an application of the Traveling Salesman Problem (TSP) using Integer Linear Programming (ILP) via Branch-and-Bound and Heuristics via Nearest Neighbor and 2-Opt. We apply these methods to find the minimum cost of visiting 48 states in the United States of America (U.S.A.) where we have to visit each states exactly once and return to its original destination. We compare the different results and see how each algorithm appraise the accuracy of the calculations. 2014-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/17997 Bachelor's Theses English Animo Repository Physical Sciences and Mathematics
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Physical Sciences and Mathematics
spellingShingle Physical Sciences and Mathematics
Su-A, Kim
Tan, Jane Lisette T.
Finding the minimum cost of an airline route using the traveling salesman problem
description We present an application of the Traveling Salesman Problem (TSP) using Integer Linear Programming (ILP) via Branch-and-Bound and Heuristics via Nearest Neighbor and 2-Opt. We apply these methods to find the minimum cost of visiting 48 states in the United States of America (U.S.A.) where we have to visit each states exactly once and return to its original destination. We compare the different results and see how each algorithm appraise the accuracy of the calculations.
format text
author Su-A, Kim
Tan, Jane Lisette T.
author_facet Su-A, Kim
Tan, Jane Lisette T.
author_sort Su-A, Kim
title Finding the minimum cost of an airline route using the traveling salesman problem
title_short Finding the minimum cost of an airline route using the traveling salesman problem
title_full Finding the minimum cost of an airline route using the traveling salesman problem
title_fullStr Finding the minimum cost of an airline route using the traveling salesman problem
title_full_unstemmed Finding the minimum cost of an airline route using the traveling salesman problem
title_sort finding the minimum cost of an airline route using the traveling salesman problem
publisher Animo Repository
publishDate 2014
url https://animorepository.dlsu.edu.ph/etd_bachelors/17997
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