Abstract

We investigated how indexed FOR-loops, such as the ones found in procedural programming languages, can be implemented in genetic programming. We use them to train programs that learn the repeating unit string of a given regular binary pattern string and can reproduce the learnt pattern to an arbitrary size, specified by a parameter N. We discovered that this particular problem, where the solution needs to scale with multiple size-instances of the problem, is very hard to solve without the help of domain knowledge.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call