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Full dataset of our results for our submission, "GenerativeGI: Creating Generative Art with Genetic Improvement," to the Special Issue on Genetic Improvement at the Automated Software Engineering journal. This zip archive contains the images and corresponding population data (including the genome that created each image) for all results reported in our submission.
We gratefully acknowledge support from the Michigan Space Grant Consortium (award number 80NSSC20M0124) and Grand Valley State University.
grammatical evolution, genetic improvement, evolutionary computation, generative art
grammatical evolution, genetic improvement, evolutionary computation, generative art
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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