# MAP-Elites Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/map-elites
> Markdown URL: https://aitinkerers.org/technologies/map-elites.md
> Technology record last updated: 2026-02-23T08:29:32Z
> Generated: 2026-10-24T17:15:58Z

Multi-dimensional Archive of Phenotypic Elites (MAP-Elites) is a Quality-Diversity (QD) algorithm: it illuminates a search space by building an archive of the best-performing solution for every defined behavioral characteristic.

MAP-Elites is the flagship Quality-Diversity (QD) search algorithm, co-developed by Mouret and Clune in 2015. It partitions a high-dimensional solution space into a multi-dimensional grid, or feature map, based on user-defined behavioral characteristics (BCs). The core function is to fill each cell of this grid with the highest-performing 'elite' solution found for that specific BC niche. This process, unlike single-objective optimization, systematically generates a diverse repertoire of high-quality solutions. The technique has proven invaluable in fields like evolutionary robotics, creative AI, and neural architecture search, providing not just one answer, but a comprehensive map of optimal trade-offs across the problem space.

- Official technology site: https://www.loria.fr/~jbmouret/qd.html
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Evolutionary Harness: A Coding Agent That Breeds, Judges, and Promotes Its Own Promptsz](https://singapore.aitinkerers.org/talks/rsvp_sEM3ge8rdCE)

- Event context: AI Tinkerers x Redis: Built for Speed — 2026-08-05 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_sEM3ge8rdCE

### [EmergentDB: How Evolutionary Algorithms Made My Vector Database 82x Faster](https://singapore.aitinkerers.org/talks/rsvp_hHLd9-vXn8A)

- Event context: AI Tinkerers - The Age of AI & Infrastructure (Singapore) — 2026-02-11 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_hHLd9-vXn8A

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