Searched for:
(1 - 6 of 6)
document
Herrema, Herrema Floris (author), Treve, V (author), Curran, R. (author), Visser, H.G. (author)
currently, at many airports, the runway throughput is the limiting factor for the overall capacity. Among the most important constraining parameters is the separation minima expressed in distance. On the top of these minima, the difference of the leader and follower aircraft speed profiles imposes to consider buffer to cope with compression...
conference paper 2016
document
Herrema, Herrema Floris (author), Treve, V (author), Desart, B (author), Curran, R. (author), Visser, H.G. (author)
Accidents on the runway triggered the development and implementation of mitigation strategies. Therefore, the airline industry is moving toward proactive risk management, which aims to identify and predict risk percursors and to mitigate risks before accidents occur. For certain predictions Machine Learning techniques can be used. Although many...
conference paper 2017
document
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
document
Ho Huu, V. (author), Hartjes, S. (author), Visser, H.G. (author), Curran, R. (author)
Recently, a multi-objective evolutionary algorithm based on decomposition (MOEA/D) has emerged as a potential method for solving multi-objective optimization problems (MOPs) and attracted much attention from researchers. In MOEA/D, the MOPs are decomposed into a number of scalar optimization sub-problems, and these sub-problems are optimized...
conference paper 2018
document
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
document
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
Searched for:
(1 - 6 of 6)