Review on meta-heuristics approaches for airside operation research
The number of publications related to airside operation research is increasing and gaining
in popularity. This paper aims to provide researchers with a comprehensive and extensive …
in popularity. This paper aims to provide researchers with a comprehensive and extensive …
Review on artificial intelligence techniques for improving representative air traffic management capability
J Tang, G Liu, Q Pan - Journal of Systems Engineering and …, 2022 - ieeexplore.ieee.org
The use of artificial intelligence (AI) has increased since the middle of the 20th century, as
evidenced by its applications to a wide range of engineering and science problems. Air …
evidenced by its applications to a wide range of engineering and science problems. Air …
A hybrid particle swarm optimization–variable neighborhood search algorithm for constrained shortest path problems
In this paper, a well known NP-hard problem, the Constrained Shortest Path problem, is
studied. As efficient metaheuristic approaches are required for its solution, a new hybridized …
studied. As efficient metaheuristic approaches are required for its solution, a new hybridized …
Deep fuzzy min–max neural network: Analysis and design
Fuzzy min-max neural network (FMNN) is one kind of three-layer models based on
hyperboxes that are constructed in a sequential way. Such a sequential mechanism …
hyperboxes that are constructed in a sequential way. Such a sequential mechanism …
Airway network management using braess's paradox
The ever increasing demand for air travel is likely to induce air traffic congestion which will
elicit great economic losses. In the presence of limited airspace capacity as well as the …
elicit great economic losses. In the presence of limited airspace capacity as well as the …
Hybridized encoding for evolutionary multi-objective optimization of air traffic network flow: A case study on China
This paper presents a novel hybridized indirect and direct encoding (HybrID) genetic
algorithm for solving air traffic network flow optimization problems. A heuristic, which uses …
algorithm for solving air traffic network flow optimization problems. A heuristic, which uses …
An optimization model to fit airspace demand considering a spatio-temporal analysis of airspace capacity
The European and US airspace systems are highly congested at certain peak time intervals.
Controllers' workloads have reached generally accepted limits; therefore, many highly …
Controllers' workloads have reached generally accepted limits; therefore, many highly …
An adaptive amoeba algorithm for constrained shortest paths
The constrained shortest path problem (CSP) is one of the basic network optimization
problems, which plays an important part in real applications. In this paper, an adaptive …
problems, which plays an important part in real applications. In this paper, an adaptive …
[HTML][HTML] Air route network optimization in fragmented airspace based on cellular automata
W Shi**, CAO **, LI Haiyun, LI Qingyun, H Xu… - Chinese Journal of …, 2017 - Elsevier
Air route network optimization, one of the essential parts of the airspace planning, is an
effective way to optimize airspace resources, increase airspace capacity, and alleviate air …
effective way to optimize airspace resources, increase airspace capacity, and alleviate air …
[HTML][HTML] A multi-objective multi-memetic algorithm for network-wide conflict-free 4D flight trajectories planning
YAN Su, CAI Kaiquan - Chinese Journal of Aeronautics, 2017 - Elsevier
Under the demand of strategic air traffic flow management and the concept of trajectory
based operations (TBO), the network-wide 4D flight trajectories planning (N4DFTP) problem …
based operations (TBO), the network-wide 4D flight trajectories planning (N4DFTP) problem …