Improving the structure of the Philippine domestic air traffic network
The sudden growth of competition in the Philippine airline industry has led to significant challenges, including inadequate infrastructure, outdated air traffic management systems, and congestion in major airports. This study aims to improve the network structure of the domestic Philippine air traffic...
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oai:animorepository.dlsu.edu.ph:etdb_math-10362024-07-12T02:40:34Z Improving the structure of the Philippine domestic air traffic network Fundales, Julianne S. Jordan, Allen Palafox, Jr. The sudden growth of competition in the Philippine airline industry has led to significant challenges, including inadequate infrastructure, outdated air traffic management systems, and congestion in major airports. This study aims to improve the network structure of the domestic Philippine air traffic network in order to address the challenges being faced by the country. The study utilizes a genetic algorithm (GA) and measures of centrality in the analysis of the network structure. 2023-12-11T08:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etdb_math/37 https://animorepository.dlsu.edu.ph/context/etdb_math/article/1036/viewcontent/2024_Fundales_Jordan_Improving_the_structure_of_the_Philippine_domestic_air_traffic_ne.pdf Mathematics and Statistics Bachelor's Theses English Animo Repository Air traffic control--Philippines Transportation—Philippines Genetic algorithms Multi-Vehicle Systems and Air Traffic Control Transportation |
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Air traffic control--Philippines Transportation—Philippines Genetic algorithms Multi-Vehicle Systems and Air Traffic Control Transportation |
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Air traffic control--Philippines Transportation—Philippines Genetic algorithms Multi-Vehicle Systems and Air Traffic Control Transportation Fundales, Julianne S. Jordan, Allen Palafox, Jr. Improving the structure of the Philippine domestic air traffic network |
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The sudden growth of competition in the Philippine airline industry has led to significant challenges, including inadequate infrastructure, outdated air traffic management systems, and congestion in major airports. This study aims to improve the network structure of the domestic Philippine air traffic network in order to address the challenges being faced by the country. The study utilizes a genetic algorithm (GA) and measures of centrality in the analysis of the network structure. |
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Fundales, Julianne S. Jordan, Allen Palafox, Jr. |
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Fundales, Julianne S. Jordan, Allen Palafox, Jr. |
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Fundales, Julianne S. |
title |
Improving the structure of the Philippine domestic air traffic network |
title_short |
Improving the structure of the Philippine domestic air traffic network |
title_full |
Improving the structure of the Philippine domestic air traffic network |
title_fullStr |
Improving the structure of the Philippine domestic air traffic network |
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Improving the structure of the Philippine domestic air traffic network |
title_sort |
improving the structure of the philippine domestic air traffic network |
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Animo Repository |
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2023 |
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https://animorepository.dlsu.edu.ph/etdb_math/37 https://animorepository.dlsu.edu.ph/context/etdb_math/article/1036/viewcontent/2024_Fundales_Jordan_Improving_the_structure_of_the_Philippine_domestic_air_traffic_ne.pdf |
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