Expert systems are designed to solve non-regular complex problems using extracted cognitive data and inspiring from the human expertise and its best practices. They are based on the machine performance and its ability to carry out a very large number of complex iterations. The Aircraft Landing Scheduling (ALS) problem has been complex and challenging problem in air traffic control for a long time, In practice, it can formulated as a constrained optimization problem that needs to be solved in real-time. The choice of a task scheduling algorithm in a variable and unpredictable real-time system requires the use of an intelligent expert system, having an evolving knowledge base and a creative inference engine. In this paper we present a general architecture and conceptual concepts of our expert system. This expert system allows the choice of the most optimal scheduling algorithm for aircraft landing scheduling.
New model for aircraft landing scheduling using real time algorithms scheduling
01.03.2015
424619 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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