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

Lorkowski, Joe and Kosheleva, Olga and Kreinovich, Vladik and Soloviev, Sergei How Design Quality Improves with Increasing Computational Abilities: General Formulas and Case Study of Aircraft Fuel Efficiency. (2015) Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 19 (5). 581-584. ISSN 1343-0130

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Official URL: https://www.fujipress.jp/jaciii/jc/jacii001900050581/?highlight=How%20Design%20Quality%20Improves

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.

Item Type:Article
HAL Id:hal-01914095
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Other partners > National Research University of Information Technologies, Mechanics and Optics of St- Petersburg - ITMO (RUSSIA)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > University of Texas at El Paso - UTEP (USA)
Laboratory name:
Funders:
National Science Foundation grants HRD-0734825 - HRD-1242122 (Cyber-ShARE Center of Excellence) - DUE-0926721 - Government of the Russian Federation Grant 074-U01
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Deposited By: IRIT IRIT
Deposited On:27 Sep 2018 08:54

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