I remember when you could come to slashdot and truly read original content. Now all these sites just seem to regurgitate the same thing.
If I hear that word one more time I'm gonna jump off allege.
Third, the kind of algorithms they describe sound more like neural nets with a large combinatoric variation of units, layers, feedback components, and sundry other possible variants. These seem to me to be both a biologically plausible mechanism for a biologically inspired vision model, not to mention a viable candidate for the pattern recognition of a wide range of vision targets. GA-based mechanism would be too symbolic and boolean to be biologically plausible, and too rigid in matching specific input patterns.
Actually, using GAs (an optimization method) to train a neural network (an optimization problem) is a fairly common technique.
This is a good time to punt work.