A schedule optimization model on multirunway based on ant colony algorithm
type: Item
instance of: scholarly article
title: A schedule optimization model on multirunway based on ant colony algorithm
zbMATH Open document ID: 1407.90156
DOI: 10.1155/2014/368208
author: Xianqiang Yang
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: In order to make full use of the slot of runway, reduce flight delay, and ensure fairness among airlines, a schedule optimization model for arrival-departure flights is established in the paper. The total delay cost and fairness among airlines are two objective functions. The ant colony algorithm is adopted to solve this problem and the result is more efficient and reasonable when compared with FCFS (first come first served) strategy. Optimization results show that the flight delay and fair deviation are decreased by 42.22\% and 38.64\%, respectively. Therefore, the optimization model makes great significance in reducing flight delay and improving the fairness among all airlines.
Mathematics Subject Classification ID: 90B35
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 7016271
Wikidata QID: Q59064678
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/368208
OpenAlex ID: W2121266503
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description: scientific article; zbMATH DE number 7016271