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… 
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Mebra: multiobjective evolutionary-based risk assessment
FAA: Aeronautical Information Manual/Federal Aviation Regulation
  • FAA: Aeronautical Information Manual/Federal Aviation Regulation
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