Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/136222
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| Type: | Conference item |
| Title: | Evolutionary computation for digital art |
| Author: | Neumann, A. Neumann, F. |
| Citation: | Abstracts of the Genetic and Evolutionary Computation Conference Companion (GECCO 2019), 2019, pp.1056-1076 |
| Publisher: | Association for Computing Machinery (ACM) |
| Issue Date: | 2019 |
| ISBN: | 9781450367486 |
| Conference Name: | Genetic and Evolutionary Computation Conference Companion (GECCO 2019) (13 Jul 2019 - 17 Jul 2019 : Prague, The Czech Republic) |
| Statement of Responsibility: | Aneta Neumann, Frank Neumann |
| Description: | PowerPoint presentation |
| Rights: | © 2019 Copyright is held by the owner/author(s). Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author. |
| DOI: | 10.1145/3319619.3323375 |
| Published version: | https://dl.acm.org/doi/proceedings/10.1145/3319619 |
| Appears in Collections: | Aurora harvest 4 Computer Science publications |
Files in This Item:
| File | Description | Size | Format | |
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| hdl_136222.pdf | Accepted version | 16.87 MB | Adobe PDF | View/Open |
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