2017
DOI: 10.3390/aerospace4040054
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An Efficient Application of the MOEA/D Algorithm for Designing Noise Abatement Departure Trajectories

Abstract: 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 ki… Show more

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Cited by 21 publications
(31 citation statements)
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“…Since the details of the algorithm have been given in Refs. (Ho-Huu et al, 2018b, 2017Zhang and Li, 2007) interested readers are encouraged to refer to these references.…”
Section: Optimization Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Since the details of the algorithm have been given in Refs. (Ho-Huu et al, 2018b, 2017Zhang and Li, 2007) interested readers are encouraged to refer to these references.…”
Section: Optimization Methodsmentioning
confidence: 99%
“…This essentially results in a ground track that consists of an alternating sequence of straight segments and constant radius turns. For an example of how these leg types are used to create a route, interested readers can refer to Ho-Huu et al (2017).…”
Section: Trajectory Parameterizationmentioning
confidence: 99%
“…Similarly, Hartjes and Visser [19] applied genetic algorithms to departure flight path planning for noise abatement and emission reduction. Ho-Huu et al [20] explored evolutionary algorithms based on decomposition (MOEA/D) for noise abatement trajectories.…”
Section: Introductionmentioning
confidence: 99%
“…As far as airports are concerned, the PSZs represent an important constraint on the territory to be considered in the land-use planning as is the case of environmental impact studies (e.g., aircraft noise and pollution [12,13]).…”
Section: Introductionmentioning
confidence: 99%