# Using LLVM-based JIT Compilation in Genetic Programming

arXiv: https://arxiv.org/abs/1701.05730 · HTML: https://mlsanity.com/paper/1701.05730/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Jan 2017.

## Built on by (most cited first, 1 of 1)

- [OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML](https://mlsanity.com/paper/2501.08591/) (2025)

## Abstract (arXiv)

The paper describes an approach to implementing genetic programming, which uses the LLVM library to just-in-time compile/interpret the evolved abstract syntax trees. The solution is described in some detail, including a parser (based on FlexC++ and BisonC++) that can construct the trees from a simple toy language with C-like syntax. The approach is compared with a previous implementation (based on direct execution of trees using polymorphic functors) in terms of execution speed.