Research on airport multi-objective optimization of stand allocation based on simulated annealing algorithm

In this study, a multi-objective optimized mathematical model of stand pre-allocation is constructed with the shortest travel distance for passengers, the lowest cost for airlines and the efficiency of stand usage as the overall objectives. The actual data of 12 flights at Lanzhou Zhongchuan Airport...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ningning Zhao, Mingming Duan
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	stand pre-allocation airline cost multi-objective optimization simulated annealing Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/07476502046c4a7cb036ec85e1e79edd
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:07476502046c4a7cb036ec85e1e79edd
record_format	dspace
spelling	oai:doaj.org-article:07476502046c4a7cb036ec85e1e79edd2021-11-24T01:16:24ZResearch on airport multi-objective optimization of stand allocation based on simulated annealing algorithm10.3934/mbe.20214121551-0018https://doaj.org/article/07476502046c4a7cb036ec85e1e79edd2021-09-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021412?viewType=HTMLhttps://doaj.org/toc/1551-0018In this study, a multi-objective optimized mathematical model of stand pre-allocation is constructed with the shortest travel distance for passengers, the lowest cost for airlines and the efficiency of stand usage as the overall objectives. The actual data of 12 flights at Lanzhou Zhongchuan Airport are analyzed by application and solved by simulated annealing algorithm. The results of the study show that the total objective function of the constructed model allocation scheme is reduced by 40.67% compared with the actual allocation scheme of the airport, and the distance traveled by passengers is reduced by a total of 4512 steps, while one stand is saved and the efficiency of stand use is increased by 31%, in addition to the reduction of airline cost by 300 RMB. In summary, the model constructed in the study has a high practical application value and is expected to be used for airport stand pre-allocation decision in the future.Ningning Zhao Mingming DuanAIMS Pressarticlestandpre-allocationairline costmulti-objective optimizationsimulated annealingBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 8314-8330 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	stand pre-allocation airline cost multi-objective optimization simulated annealing Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	stand pre-allocation airline cost multi-objective optimization simulated annealing Biotechnology TP248.13-248.65 Mathematics QA1-939 Ningning Zhao Mingming Duan Research on airport multi-objective optimization of stand allocation based on simulated annealing algorithm
description	In this study, a multi-objective optimized mathematical model of stand pre-allocation is constructed with the shortest travel distance for passengers, the lowest cost for airlines and the efficiency of stand usage as the overall objectives. The actual data of 12 flights at Lanzhou Zhongchuan Airport are analyzed by application and solved by simulated annealing algorithm. The results of the study show that the total objective function of the constructed model allocation scheme is reduced by 40.67% compared with the actual allocation scheme of the airport, and the distance traveled by passengers is reduced by a total of 4512 steps, while one stand is saved and the efficiency of stand use is increased by 31%, in addition to the reduction of airline cost by 300 RMB. In summary, the model constructed in the study has a high practical application value and is expected to be used for airport stand pre-allocation decision in the future.
format	article
author	Ningning Zhao Mingming Duan
author_facet	Ningning Zhao Mingming Duan
author_sort	Ningning Zhao
title	Research on airport multi-objective optimization of stand allocation based on simulated annealing algorithm
title_short	Research on airport multi-objective optimization of stand allocation based on simulated annealing algorithm
title_full	Research on airport multi-objective optimization of stand allocation based on simulated annealing algorithm
title_fullStr	Research on airport multi-objective optimization of stand allocation based on simulated annealing algorithm
title_full_unstemmed	Research on airport multi-objective optimization of stand allocation based on simulated annealing algorithm
title_sort	research on airport multi-objective optimization of stand allocation based on simulated annealing algorithm
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/07476502046c4a7cb036ec85e1e79edd
work_keys_str_mv	AT ningningzhao researchonairportmultiobjectiveoptimizationofstandallocationbasedonsimulatedannealingalgorithm AT mingmingduan researchonairportmultiobjectiveoptimizationofstandallocationbasedonsimulatedannealingalgorithm
_version_	1718416016268066816

Research on airport multi-objective optimization of stand allocation based on simulated annealing algorithm

Ejemplares similares