Abstract
Genetic programming is an area of research in computer
science interested in finding an öptimal" solution
in a large search space. Traditional genetic
programming relies on a fitness function which gives an
indication of how close a given genome is to optimal.
Unfortunately, many interesting problems don't have any
natural fitness function, such as images, objects,
L-Systems, music, etc... I wrote a general toolkit for
investigating such problems. Judging from the reactions
of people who have used the toolkit, it is an easily
understood, useable, and addicting system for exploring
visual genetic programming.
Users
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