Genetic programming

December 21, 2015 — August 2, 2023

agents
optimization
probabilistic algorithms
swarm

Suspiciously similar content

A nature-inspired approach to computing that mimics evolution for code. This method has fallen out of favour lately because it is just not very good in practice, (e.g. ), at least as naïvely implemented. The kind of problems it seems like it might solve, symbolic regression, have alternatives that do pretty well, like neural automata, neural transformers, or Bayesian Symbolic regressions ().

Nonetheless, there is some interesting theory here, some interesting history, and it is possibly the right tool for some jobs.

To consider: connection to adversarial learning, connections to optimisation theory, particle filters, importance sampling…

Hence, this notebook.

TBC, maybe.

1 Incoming

Figure 2

2 References

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