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Journal Articles Journal of Advanced Computational Intelligence and Intelligent Informatics Year : 2015

How Design Quality Improves with Increasing Computational Abilities: General Formulas and Case Study of Aircraft Fuel Efficiency

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Abstract

It is known that the problems of optimal design are NP-hard - meaning that, in general, a feasible algorithm can only produce close-to-optimal designs. The more computations we perform, the better design we can produce. In this paper, we theoretically derive quantitative formulas describing how the design qualities improves with the increasing computational abilities. We then empirically confirm the resulting theoretical formula by applying it to the problem of aircraft fuel efficiency.
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Dates and versions

hal-01914095 , version 1 (06-11-2018)

Identifiers

  • HAL Id : hal-01914095 , version 1
  • OATAO : 19102

Cite

Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich, Sergei Soloviev. How Design Quality Improves with Increasing Computational Abilities: General Formulas and Case Study of Aircraft Fuel Efficiency. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2015, 19 (5), pp.581-584. ⟨hal-01914095⟩
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