Steepest-first exploration with learning-based path evaluation: uncovering the design strategy of parameter analysis with C-K theory

Ehud Kroll; Pascal Le Masson; Benoit Weil

doi:10.1007/s00163-014-0182-8

Journal articles

Steepest-first exploration with learning-based path evaluation: uncovering the design strategy of parameter analysis with C-K theory

Ehud Kroll ¹ Pascal Le Masson ² Benoit Weil ²

1 Technion - Israel Institute of Technology [Haifa]

2 CGS i3 - Centre de Gestion Scientifique i3

Abstract : Steepest-first exploration with learning-based path evaluation: uncovering the design strategy of parameter analysis with C-K theory

Keywords : Design theory Conceptual design C-K theory Parameter analysis

Document type :

Journal articles

Domain :

Humanities and Social Sciences / Business administration

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https://hal-mines-paristech.archives-ouvertes.fr/hal-01070428
Contributor : Stéphanie Brunet <>
Submitted on : Wednesday, October 1, 2014 - 12:23:35 PM
Last modification on : Thursday, September 24, 2020 - 5:00:03 PM

Steepest-first exploration with learning-based path evaluation: uncovering the design strategy of parameter analysis with C-K theory

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Steepest-first exploration with learning-based path evaluation: uncovering the design strategy of parameter analysis with C-K theory

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