Abstract
We present grammatical evolution, an evolutionary algorithm that can evolve complete programs in an arbitrary language using a variable-length binary string. The binary genome determines which production rules in a Backus-Naur form grammar definition are used in a genotype-to-phenotype mapping process to a program. We demonstrate how expressions and programs of arbitrary complexity may be evolved and compare its performance to genetic programming.
| Original language | English |
|---|---|
| Pages (from-to) | 349-358 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Evolutionary Computation |
| Volume | 5 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Aug 2001 |
Keywords
- Automatic programming
- Backus-Naur form
- Degenerate code
- Evolutionary algorithms
- Neutral networks