Real-Time Decision Optimization Platform for Airline Operations

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@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