Learning the optimal product design through history

    研究成果: Conference contribution

    3 引用 (Scopus)

    抄録

    The search for novel and high-performing product designs is a ubiquitous problem in science and engineering: aided by advances in optimization methods the conventional approaches usually optimize a (multi) objective function using simulations followed by experiments. However, in some scenarios such as vehicle layout design, simulations and experiments are restrictive, inaccurate and expensive. In this paper, we propose an alternative approach to search for novel and highperforming product designs by optimizing not only a proposed novelty metric, but also a performance function learned from historical data. Computational experiments using more than twenty thousand vehicle models over the last thirty years shows the usefulness and promising results for a wider set of design engineering problems.

    元の言語English
    ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    出版者Springer Verlag
    ページ382-389
    ページ数8
    9489
    ISBN(印刷物)9783319265315
    DOI
    出版物ステータスPublished - 2015
    イベント22nd International Conference on Neural Information Processing, ICONIP 2015 - Istanbul, Turkey
    継続期間: 2015 11 92015 11 12

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    9489
    ISSN(印刷物)03029743
    ISSN(電子版)16113349

    Other

    Other22nd International Conference on Neural Information Processing, ICONIP 2015
    Turkey
    Istanbul
    期間15/11/915/11/12

    Fingerprint

    Product Design
    Product design
    Historical Data
    Engineering Design
    Inaccurate
    Computational Experiments
    Experiment
    Optimization Methods
    Layout
    Simulation
    Objective function
    Experiments
    Optimise
    Engineering
    Metric
    Scenarios
    Alternatives
    History
    Learning
    Model

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    これを引用

    Parque Tenorio, V., & Miyashita, T. (2015). Learning the optimal product design through history. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (巻 9489, pp. 382-389). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 9489). Springer Verlag. https://doi.org/10.1007/978-3-319-26532-2_42

    Learning the optimal product design through history. / Parque Tenorio, Victor; Miyashita, Tomoyuki.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 9489 Springer Verlag, 2015. p. 382-389 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 9489).

    研究成果: Conference contribution

    Parque Tenorio, V & Miyashita, T 2015, Learning the optimal product design through history. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻. 9489, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 巻. 9489, Springer Verlag, pp. 382-389, 22nd International Conference on Neural Information Processing, ICONIP 2015, Istanbul, Turkey, 15/11/9. https://doi.org/10.1007/978-3-319-26532-2_42
    Parque Tenorio V, Miyashita T. Learning the optimal product design through history. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 9489. Springer Verlag. 2015. p. 382-389. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-26532-2_42
    Parque Tenorio, Victor ; Miyashita, Tomoyuki. / Learning the optimal product design through history. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 9489 Springer Verlag, 2015. pp. 382-389 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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