Modelling and evolutionary multi-objective evaluation of interdependencies and work processes in airport operations

  • Authors:
  • Jiangjun Tang;Sameer Alam;Hussein Abbass;Chris Lokan

  • Affiliations:
  • UNSW@ADFA, Canberra, Australia;UNSW@ADFA, Canberra, Australia;UNSW@ADFA, Canberra, Australia;UNSW@ADFA, Canberra, Australia

  • Venue:
  • Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.