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2018 | OriginalPaper | Buchkapitel

Prototype Discovery Using Quality-Diversity

verfasst von : Alexander Hagg, Alexander Asteroth, Thomas Bäck

Erschienen in: Parallel Problem Solving from Nature – PPSN XV

Verlag: Springer International Publishing

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Abstract

An iterative computer-aided ideation procedure is introduced, building on recent quality-diversity algorithms, which search for diverse as well as high-performing solutions. Dimensionality reduction is used to define a similarity space, in which solutions are clustered into classes. These classes are represented by prototypes, which are presented to the user for selection. In the next iteration, quality-diversity focuses on searching within the selected class. A quantitative analysis is performed on a 2D airfoil, and a more complex 3D side view mirror domain shows how computer-aided ideation can help to enhance engineers’ intuition while allowing their design decisions to influence the design process.

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Fußnoten
1
DBSCAN’s parameterization is automated using the L Method [19].
 
3
https://​openfoam.​org, simulation at 11 m/s.
 
4
Perplexity is set to 50, but at most half the number of samples.
 
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Metadaten
Titel
Prototype Discovery Using Quality-Diversity
verfasst von
Alexander Hagg
Alexander Asteroth
Thomas Bäck
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-99253-2_40

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