# Creative AI Through Evolutionary Computation

arXiv: https://arxiv.org/abs/1901.03775 · HTML: https://mlsanity.com/paper/1901.03775/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Jan 2019.

## Built on by (most cited first, 3 of 3)

- [Understanding Addition in Transformers](https://mlsanity.com/paper/2310.13121/) (2023)
- [Unlocking the Potential of Global Human Expertise](https://mlsanity.com/paper/2411.00156/) (2024)
- [Evolutionary Computation as Natural Generative AI](https://mlsanity.com/paper/2510.08590/) (2025)

## Abstract (arXiv)

The main power of artificial intelligence is not in modeling what we already know, but in creating solutions that are new. Such solutions exist in extremely large, high-dimensional, and complex search spaces. Population-based search techniques, i.e. variants of evolutionary computation, are well suited to finding them. These techniques are also well positioned to take advantage of large-scale parallel computing resources, making creative AI through evolutionary computation the likely "next deep learning".