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- W2146445573 abstract "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 maximising or minimising the success rate of an algorithm. In the “scenario Mining” step, MEBRA identifies the patterns common in problem instances when an algorithm performs best in order to understand when to use it, and in instances when it performs worst in order to understand when not to use it." @default.
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- W2146445573 date "2010-01-01" @default.
- W2146445573 modified "2023-09-25" @default.
- W2146445573 title "Evolutionary-Computation Based Risk Assessment of Aircraft Landing Sequencing Algorithms" @default.
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