Abstract
This paper applies object-oriented concepts to genetic programming (GP) in order to improve the ability of GP to scale to larger problems. A technique called Basic Object-Oriented GP (Basic OOGP) is proposed that manipulates object instances incorporated in a computer program being represented as a linear array. Basic OOGP is applied to the even-parity problem and compared to GP, Liquid State GP and Traceless GP. The results indicate that OOGP can solve certain problems with smaller populations and fewer generations. © 2011 Springer-Verlag.
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White, T., Fan, J., & Oppacher, F. (2011). Basic object oriented genetic programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6703 LNAI, pp. 59–68). https://doi.org/10.1007/978-3-642-21822-4_7
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