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Cross-task code reuse in genetic programming applied to visual learning

Wojciech JaśkowskiKrzysztof KrawiecBartosz Wieloch — 2014

International Journal of Applied Mathematics and Computer Science

We propose a method that enables effective code reuse between evolutionary runs that solve a set of related visual learning tasks. We start with introducing a visual learning approach that uses genetic programming individuals to recognize objects. The process of recognition is generative, i.e., requires the learner to restore the shape of the processed object. This method is extended with a code reuse mechanism by introducing a crossbreeding operator that allows importing the genetic material from...

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