TY  - JOUR
AB  - This paper is a systematic review of metaheuristic algorithm applications in the airline industry. The purpose of these applications is to optimize the flight operation, especially during flight delay situation. Big data in the flight industry play an important role in predictive as well as prescriptive analysis. Usage of historical flight data enable model building using a metaheuristic algorithm to find a better solution in dealing with flight delay. Optimization on flight route, airlines recovery problem, crew rescheduling and passenger centric strategy will be further discussed in this paper as well. Previous related works on each aspect are reviewed to have a better understanding of the available solutions. Some recommendations are also suggested for future improvement, based on the review.
AU  - Yee, Yip Mei
AU  - Basharirad, Babak
AU  - Bamiah, Mervat Adib
IS  - 1
KW  - Metaheuristic Algorithm
Airlines Recovery Problem
Big Data
Optimization
Flight Scheduling
Flight Delay
PY  - 2020
SN  - 2667-0194
SP  - 11-15
ST  - Metaheuristic Algorithms Application in the Aviation Industry:  A Short Review
T2  - Journal of Innovation in Computing
TI  - Metaheuristic Algorithms Application in the Aviation Industry:  A Short Review
UR  - https://www.iraseat.com/wp-content/Data/JIC/V001_I01_A04_JIC-20-008.pdf
VL  - 1
ID  - 234
ER  -