Evolutionary-Computation Based Risk Assessment of Aircraft Landing Sequencing Algorithms
@inproceedings{Zhao2010EvolutionaryComputationBR, title={Evolutionary-Computation Based Risk Assessment of Aircraft Landing Sequencing Algorithms}, author={Wenjing Zhao and Jiangjun Tang and Sameer Alam and Axel Bender and Hussein A. Abbass}, booktitle={DIPES/BICC}, year={2010} }
Usually, Evolutionary Computation (EC) is used for optimisation and machine learning tasks. Recently, a novel use of EC has been proposed – Multiobjective Evolutionary Based Risk Assessment (MEBRA). MEBRA characterises the problem space associated with good and inferior performance of computational algorithms. Problem instances are represented (“scenario Representation”) and evolved (“scenario Generation”) in order to evaluate algorithms (“scenario Evaluation”). The objective functions aim at…
5 Citations
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References
SHOWING 1-10 OF 11 REFERENCES
Genetic algorithm based on receding horizon control for arrival sequencing and scheduling
- BusinessEng. Appl. Artif. Intell.
- 2005
Scheduling Aircraft Landings under Constrained Position Shifting
- Business
- 2006
Optimal scheduling of airport runway operations can play an important role in improving the safety and efficiency of the National Airspace System (NAS). Methods that compute the optimal landing…
UNITED STATES and EUROPEAN Airport Capacity Assessment using the GMU Macroscopic Capacity Model (MCM)
- Environmental Science
- 2000
This paper uses the George Mason University Macroscopic Capacity Model (MCM) to compare capacity factors between United States and European Air Transportation Systems. To limit the complexity of…
ANALYSIS OF SEQUENCING AND SCHEDULING METHODS FOR ARRIVAL TRAFFIC
- Business
- 1990
The air traffic control subsystem that performs scheduling is discussed. The function of the scheduling algorithms is to plan automatically the most efficient landing order and to assign optimally…
Analysis of delay reducing and fuel saving sequencing and spacing algorithms for arrival traffic
- Computer Science
- 1991
This report supersedes NASA TM-102795 and includes a new method of time-advance as well as an efficient method of sequencing and spacing for two dependent runways.
Scheduling: Theory, Algorithms, and Systems
- Business
- 1994
Scheduling will serve as an essential reference for professionals working on scheduling problems in manufacturing and computing environments and Graduate students in operations management, operations research, industrial engineering and computer science will find the book to be an accessible and invaluable resource.
Mebra: multiobjective evolutionary-based risk assessment
- Computer ScienceIEEE Computational Intelligence Magazine
- 2009
Aeronautical Information Manual/Federal Aviation Regulation
- McGraw-Hill
- 2003
FAA: Aeronautical Information Manual/Federal Aviation Regulation
- FAA: Aeronautical Information Manual/Federal Aviation Regulation
- 2003