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Simulation and discrete event optimization for automated decisions for in‐queue flights

Citation

Dimitrakiev, D and Nikolova, N and Tenekedjiev, K, Simulation and discrete event optimization for automated decisions for in‐queue flights, International Journal of Intelligent Systems, 25, (5) pp. 460-487. ISSN 0884-8173 (2010) [Refereed Article]

Copyright Statement

Copyright 2010 Wiley Periodicals, Inc.

DOI: doi:10.1002/int.20407

Abstract

The paper discusses simulation and optimization of in‐queue flights, analyzed as discrete‐event systems. Simulation is performed in a platform, based on MATLAB program functions and SIMULINK dynamic models. Regime optimization aims to maximize the controllability of the queue and minimize the fuel consumption of each aircraft (AC). Because of mutual preferential independence, a hierarchical additive value function is constructed, consisting of fuzzily estimated parameter value functions and weight coefficients and a multicriteria decision problem is solved under strict certainty. Two optimization algorithms are applied: one that finds the regime that leads to maximally preferred consequence and another that finds the regime with minimum total fuel consumption among those whose control parameters are set at their most preferred levels. A comparison between the two algorithms is proposed. A scheme describes how the optimization procedures can be used multiple times during the execution of the flight with respect to the occurrence of discrete events. Simulation results are also proposed for the discussed algorithms and procedures. 2010 Wiley Periodicals, Inc.

Item Details

Item Type:Refereed Article
Keywords:in queue flights
Research Division:Information and Computing Sciences
Research Group:Information Systems
Research Field:Decision Support and Group Support Systems
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Information and Computing Sciences
UTAS Author:Nikolova, N (Professor Nataliya Nikolova)
UTAS Author:Tenekedjiev, K (Professor Kiril Tenekedjiev)
ID Code:127965
Year Published:2010
Web of Science® Times Cited:1
Deposited By:AMC Governance Office
Deposited On:2018-08-26
Last Modified:2018-09-07
Downloads:0

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