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Aerospace 2017, 4(4), 54; doi:10.3390/aerospace4040054

An Efficient Application of the MOEA/D Algorithm for Designing Noise Abatement Departure Trajectories

Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, The Netherlands
These authors contributed equally to this work.
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Received: 2 October 2017 / Revised: 24 October 2017 / Accepted: 27 October 2017 / Published: 1 November 2017
(This article belongs to the Special Issue Air Transportation—Operations and Management)
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Abstract

In an effort to allow to increase the number of aircraft and airport operations while mitigating their negative impacts (e.g., noise and pollutant emission) on near-airport communities, the optimal design of new departure routes with less noise and fuel consumption becomes more important. In this paper, a multi-objective evolutionary algorithm based on decomposition (MOEA/D), which recently emerged as a potential method for solving multi-objective optimization problems (MOPs), is developed for this kind of problem. First, to minimize aircraft noise for departure routes while taking into account the interests of various stakeholders, bi-objective optimization problems involving noise and fuel consumption are formulated where both the ground track and vertical profile of a departure route are optimized simultaneously. Second, in order to make the design space of vertical profiles feasible during the optimization process, a trajectory parameterization technique recently proposed is employed. Furthermore, some modifications to MOEA/D that are aimed at significantly reducing the computational cost are also introduced. Two different examples of departure routes at Schiphol Airport in the Netherlands are shown to demonstrate the applicability and reliability of the proposed method. The simulation results reveal that the proposed method is an effective and efficient approach for solving this kind of problem. View Full-Text
Keywords: departure routes; trajectory optimization; noise abatement; fuel consumption; MOEA/D departure routes; trajectory optimization; noise abatement; fuel consumption; MOEA/D
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MDPI and ACS Style

Ho-Huu, V.; Hartjes, S.; Visser, H.G.; Curran, R. An Efficient Application of the MOEA/D Algorithm for Designing Noise Abatement Departure Trajectories. Aerospace 2017, 4, 54.

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