Real-Time Decision Optimization Platform for Airline Operations
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Weerasinghe:2020:ICAC,
-
author = "P. S. R. Weerasinghe and R. A. M. D. K. Ranasinghe and
M. M. V. R. B. Mahanthe and P. G. C. B. Samarakoon and
W. H. Rankothge and D. Kasthurirathna",
-
title = "Real-Time Decision Optimization Platform for Airline
Operations",
-
booktitle = "2020 2nd International Conference on Advancements in
Computing (ICAC)",
-
year = "2020",
-
volume = "1",
-
pages = "281--286",
-
month = dec,
-
keywords = "genetic algorithms, genetic programming",
-
DOI = "doi:10.1109/ICAC51239.2020.9357157",
-
abstract = "With close to 4 billion origin-destination passenger
journeys worldwide, airline operations have become a
crucial factor in the global economy. With the
increasing number of journeys and passengers, managing
the daily operations of airlines have become a
complicated task. We have proposed a real-time decision
optimization platform for airline operations with the
following subsystems: (1) determine the optimum path
for a flight, (2) optimum fleet assignment, (3) optimum
gate allocation, (4) optimum crew allocation. We have
used an approximation (heuristics) based optimization
approach: Genetic Programming (GP) to implement the
modules. The results of our proposed platform
illustrate that, the decision-making process of Airline
Operations Control Center (AOCC) can be optimized, and
dynamic change requirements can be accommodated.",
-
notes = "Also known as \cite{9357157}",
- }
Genetic Programming entries for
P S R Weerasinghe
R A M D K Ranasinghe
M M V R B Mahanthe
P G C B Samarakoon
Windhya Rankothge
D Kasthurirathna
Citations