modelling and evolutionary multi-objective evaluation of interdependencies and work processes in airport operations
An airport is a multi-stakeholders environment, with work processes and operations cutting across a number of organizations. Airport landside operations involve a variety of services and entities that interact and depend on each others. In this paper, we introduce the Landside Modelling and Analysis of Services (LAMAS) tool, which is a multi-agent system, to simulate, analyze and evaluate the interdependencies of services in airport operations. A genetic algorithm is used to distribute resources among the different entities in an airport such that the level of service is maintained. The problem is modelled as a multi-objective constrained resource allocation problem with the objective functions being the maximization of quality of service while reducing the total cost.
airport landside multi-agent system genetic algorithm quality of service work-processes