Genetic algorithms are a mysterious sounding technique in
mysterious sounding field--artificial intelligence.
This is the problem with naming things appropriately.
When the field was labeled artificial intelligence,
it meant using mathematics to artificially create the
semblance of intelligence, but self-engrandizing researchers
and Isaac Asimov redefined it as robots.
The name genetic algorithms does sound complex and
has a faintly magical ring to it, but it turns out that
they are one of the simplest and most-intuitive concepts
you'll encounter in A.I.
What Can Genetic Algorithms Do?
In a word, genetic algorithms optimize. They can find better answers to
a question, but not solve new questions. Given the definition of a car,
they might create a better car,
but they'll never give you an airplane.