[api]

Most GAs are not a very faithful adaptation of actual biological evolution, either. The real evolutionary process is a bit different. Most notably, the "agent" actually implements the algorithm in the sense that it performs its own self-replication and implements the "operators" (crossover, etc.) within its own embodiment. This has certain implications, most notably that the algorithm itself is subject to evolution.

There are other big holes too. For example, few GAs implement anything resembling ontogeny or lifetime learning, and generally have a poor genotype/phenotype divide. That also has big implications. It's a big reason most GAs are far too "greedy" and get stuck at local maxima easily.