Weerasinghe, P.S.R.Ranasinghe, R.A.M.D.K.Mahanthe, M.M.V.R.B.Samarakoon, P.G.C.B.Rankothge, W.H.Kasthurirathna, D.2022-03-142022-03-142020-12-10978-1-7281-8412-8https://rda.sliit.lk/handle/123456789/1584With 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.enAirline IndustryGenetic AlgorithmPlanningSchedulingOptimizationArticle10.1109/ICAC51239.2020.9357157