SLIIT Conference and Symposium Proceedings
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All SLIIT faculties annually conduct international conferences and symposiums. Publications from these events are included in this collection.
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Publication Embargo Real-Time Decision Optimization Platform for Airline Operations(2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) 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.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.Publication Embargo Heuristic Approach to Solve Interval Transportation Problem(Faculty of Humanities and Sciences,SLIIT, 2021-09-25) Gunarathne, H.A.D.R; Juman, Z.A.M.SThe transportation problem is a special type of linear programming problem in which commodities are transported from a set of sources to a set of destinations subject to the supply and demand quantities of sources and destinations respectively such that the total transportation cost is minimized. This plays an important role in logistics and supply-chain management for improving services, reducing cost, and optimizing the use of resources. Researchers have given considerable attention to the transportation problem with fixed demand and supply. Many algorithms are available to solve transportation problems with the above conditions. However, in realworld applications, demand and supply quantities may vary within a specific interval due to variations in the global economy. Finding an upper minimal total cost of interval transportation problem (ITP) is an NP-hard problem. Thus, less attention has been given to this type of transportation problem. Heuristic approaches are preferred to solve this type of problem. Genetic algorithm is a powerful algorithm to solve NP-hard problems because of its special characteristics. In this paper, a solution procedure based on the concept of a genetic algorithm is proposed to solve ITP.