Searched for: subject%3A%22optimizers%22
(1 - 9 of 9)
document
Ho-Huu, V. (author), Hartjes, S. (author), Perez Castan, J.A. (author), Visser, H.G. (author), Curran, R. (author)
This paper presents the development of a multilevel optimization framework for the design and selection of departure routes, and the distribution of aircraft movements among these routes, while taking the sequence and separation requirements for aircraft on runways and along selected routes into account. The main aim of the framework is to...
journal article 2020
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Ho-Huu, V. (author), Hartjes, S. (author), Visser, H.G. (author), Curran, R. (author)
In this article, we present the development of a two-step optimization framework to deal with the design and selection of aircraft departure routes and the allocation of flights among these routes. The aim of the framework is to minimize cumulative noise annoyance and fuel burn. In the first step of the framework, multi-objective trajectory...
journal article 2019
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Hartjes, S. (author), Visser, H.G. (author), Hubar, Marco E.G.van Hellenberg (author)
This paper presents a trajectory optimization study that has been conducted using a recently developed tool for the synthesis and analysis of extended flight formations of long-haul commercial aircraft, with the aim to minimize overall fuel consumption. In extended flight formations, trailing aircraft can attain an appreciable reduction in...
journal article 2019
document
Ho-Huu, V. (author), Ganić, Emir (author), Hartjes, S. (author), Babić, Obrad (author), Curran, R. (author)
The paper first investigates the influence of daily mobility of population on evaluation of aircraft noise effects. Then, a new air traffic assignment model that considers this activity is proposed. The main objective is to reduce the number of people affected by noise via lowering as much as possible the noise exposure level L <sub>den</sub...
journal article 2019
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Ho-Huu, V. (author), Hartjes, S. (author), Visser, H.G. (author), Curran, R. (author)
This paper presents a new multi-objective optimization formulation for the design and allocation of optimal aircraft departure routes. In the considered problem – besides two conventional objectives based on cumulative noise criteria and fuel burn – a new objective considering the flight frequency is introduced. Moreover, to take advantage of...
journal article 2018
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Ho-Huu, V. (author), Hartjes, S. (author), Visser, H.G. (author), Curran, R. (author)
The multi-objective evolutionary algorithm based on decomposition (MOEA/D) has been recognized as a promising method for solving multi-objective optimization problems (MOPs), receiving a lot of attention from researchers in recent years. However, its performance in handling MOPs with complicated Pareto fronts (PFs) is still limited,...
journal article 2018
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Ho-Huu, V. (author), Hartjes, S. (author), Visser, H.G. (author), Curran, R. (author)
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...
journal article 2017
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Hartjes, S. (author), Visser, H.G. (author)
In this study, a genetic optimization algorithm is applied to the design of environmentally friendly aircraft departure trajectories. The environmental optimization has been primarily focused on noise abatement and local NOx emissions, whilst taking fuel burn into account as an economical criterion. In support of this study, a novel...
journal article 2016
document
Hartjes, S. (author)
Civil aviation plays an irreplaceable role in the current global civilization. Even though the 2008 economic crisis has limited growth in the western world, it can only be expected that due to continuing development in the Far East, South America and Africa this role will increase further over the years to come. Also in the field of helicopter...
doctoral thesis 2015
Searched for: subject%3A%22optimizers%22
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