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Airline capacity distribution under financial budget and resource consideration
Capacity distribution is a challenging issue for an airline under financial budget and resource consideration. It is a large-scale optimization problem covering both long-term planning and short-term operating arrangements. This study investigates on the airline capacity distribution problem with fi...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258479/ https://www.ncbi.nlm.nih.gov/pubmed/37332397 http://dx.doi.org/10.1007/s10878-023-01055-0 |
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author | Zhou, Jing |
author_facet | Zhou, Jing |
author_sort | Zhou, Jing |
collection | PubMed |
description | Capacity distribution is a challenging issue for an airline under financial budget and resource consideration. It is a large-scale optimization problem covering both long-term planning and short-term operating arrangements. This study investigates on the airline capacity distribution problem with financial budget and resource consideration. It contains subproblems of financial budget arrangement, fleet introduction, and fleet assignment. Among them, financial budget is arranged in multiple decision periods, fleet introduction is decided under fixed time points, while fleet assignment is decided under all available time points. To tackle this problem, an integer programming model is formulated for descriptions. Then, an integrated algorithm of modified Variable Neighborhood Search (VNS) and Branch-and-bound (B&B) strategy is developed to find solutions. In detail, a greedy heuristic approach is utilized to generate an initial solution for fleet introduction, the modified B&B strategy is utilized to generate the optimal solution for fleet assignment and the modified VNS is applied to update current solution for a new one with better quality. In addition, budget limit checks are added for financial budget arrangements. Finally, the hybrid algorithm is tested on efficiency and stability. It is also compared to other algorithms which replace the modified VNS by basic VNS, differential evolution and genetic algorithm. Computational results show that performance of our approach is powerful in terms of objective value, convergence speed and stability. |
format | Online Article Text |
id | pubmed-10258479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-102584792023-06-14 Airline capacity distribution under financial budget and resource consideration Zhou, Jing J Comb Optim Article Capacity distribution is a challenging issue for an airline under financial budget and resource consideration. It is a large-scale optimization problem covering both long-term planning and short-term operating arrangements. This study investigates on the airline capacity distribution problem with financial budget and resource consideration. It contains subproblems of financial budget arrangement, fleet introduction, and fleet assignment. Among them, financial budget is arranged in multiple decision periods, fleet introduction is decided under fixed time points, while fleet assignment is decided under all available time points. To tackle this problem, an integer programming model is formulated for descriptions. Then, an integrated algorithm of modified Variable Neighborhood Search (VNS) and Branch-and-bound (B&B) strategy is developed to find solutions. In detail, a greedy heuristic approach is utilized to generate an initial solution for fleet introduction, the modified B&B strategy is utilized to generate the optimal solution for fleet assignment and the modified VNS is applied to update current solution for a new one with better quality. In addition, budget limit checks are added for financial budget arrangements. Finally, the hybrid algorithm is tested on efficiency and stability. It is also compared to other algorithms which replace the modified VNS by basic VNS, differential evolution and genetic algorithm. Computational results show that performance of our approach is powerful in terms of objective value, convergence speed and stability. Springer US 2023-06-12 2023 /pmc/articles/PMC10258479/ /pubmed/37332397 http://dx.doi.org/10.1007/s10878-023-01055-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhou, Jing Airline capacity distribution under financial budget and resource consideration |
title | Airline capacity distribution under financial budget and resource consideration |
title_full | Airline capacity distribution under financial budget and resource consideration |
title_fullStr | Airline capacity distribution under financial budget and resource consideration |
title_full_unstemmed | Airline capacity distribution under financial budget and resource consideration |
title_short | Airline capacity distribution under financial budget and resource consideration |
title_sort | airline capacity distribution under financial budget and resource consideration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258479/ https://www.ncbi.nlm.nih.gov/pubmed/37332397 http://dx.doi.org/10.1007/s10878-023-01055-0 |
work_keys_str_mv | AT zhoujing airlinecapacitydistributionunderfinancialbudgetandresourceconsideration |