# A sparsity preserving genetic algorithm for extracting diverse functional 3D designs from deep generative neural networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-sparsity-preserving-genetic-algorithm-for-extracting-diverse-functional-3d/

## Facts

| Field | Value |
| --- | --- |
| Author Names | James Cunningham,Dule Shu,Timothy W. Simpson,Conrad S. Tucker |
| Citations | 9 |
| DOI | 10.1017/dsj.2020.9 |
| Fields | Computer Science,Earth and Planetary Sciences,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.cambridge.org/core/services/aop-cambridge-core/content/view/AFF95B3DAC5446D2A4BE150B1DC71DD7/S2053470120000098a.pdf/div-class-title-a-sparsity-preserving-genetic-algorithm-for-extracting-diverse-functional-3d-designs-from-deep-generative-neural-networks-div.pdf |
| OpenAlex ID | https://openalex.org/W3025564317 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Dule Shu](https://scholariq.org/researchers/dule-shu/)

## Paper primary topic

- [3D Shape Modeling and Analysis](https://scholariq.org/topics/3d-shape-modeling-and-analysis/)

## Paper topics

- [3D Shape Modeling and Analysis](https://scholariq.org/topics/3d-shape-modeling-and-analysis/)
- [Computer Graphics and Visualization Techniques](https://scholariq.org/topics/computer-graphics-and-visualization-techniques/)
- [3D Surveying and Cultural Heritage](https://scholariq.org/topics/3d-surveying-and-cultural-heritage/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.
