Evolutionary-Computation Based Risk Assessment of Aircraft Landing Sequencing Algorithms

  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},
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… 
Behavioral learning of aircraft landing sequencing using a society of Probabilistic Finite state Machines
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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.
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Mebra: multiobjective evolutionary-based risk assessment
Aeronautical Information Manual/Federal Aviation Regulation
  • McGraw-Hill
  • 2003
FAA: Aeronautical Information Manual/Federal Aviation Regulation
  • FAA: Aeronautical Information Manual/Federal Aviation Regulation
  • 2003