Weerasinghe, P. S. RRanasinghe, R. A. M. D. KMahanthe, M. M. V. R. BSamarakoon, P. G. C. BRankothge, W. HKasthurirathna, D2022-02-082022-02-082020-12-10P. S. R. Weerasinghe, R. A. M. D. K. Ranasinghe, M. M. V. R. B. Mahanthe, P. G. C. B. Samarakoon, W. H. Rankothge and D. Kasthurirathna, "Real-Time Decision Optimization Platform for Airline Operations," 2020 2nd International Conference on Advancements in Computing (ICAC), 2020, pp. 281-286, doi: 10.1109/ICAC51239.2020.9357157.978-1-7281-8412-8https://rda.sliit.lk/handle/123456789/1025With 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.enReal-Time DecisionOptimization PlatformAirline OperationsArticle10.1109/ICAC51239.2020.9357157