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2020 | OriginalPaper | Buchkapitel

Application of Parallel Computing in Robust Optimization Design

verfasst von : Ievgen Meniailov, Serhii Krivtsov, Mykhaylo Ugryumov, Kseniia Bazilevich, Irina Trofymova

Erschienen in: Integrated Computer Technologies in Mechanical Engineering

Verlag: Springer International Publishing

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Abstract

In the process of research, the authors described a computational method for synthesizing solutions to problems of multi-criteria optimization (based on the use of parallel computing) and decision-making with a priori data uncertainty, based on a memetic algorithm that implements the joint use of an evolutionary method with parameters changing from generation to generation: coding, fitness and relaxation functions, Decremental Neighborhood Method, and the random path generation method.

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Metadaten
Titel
Application of Parallel Computing in Robust Optimization Design
verfasst von
Ievgen Meniailov
Serhii Krivtsov
Mykhaylo Ugryumov
Kseniia Bazilevich
Irina Trofymova
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-37618-5_44

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