Basic object oriented genetic programming

Authors:
Tony White;Jinfei Fan;Franz Oppacher
Affiliations:
School of Computer Science, Carleton University, Ottawa, Ontario, Canada;School of Computer Science, Carleton University, Ottawa, Ontario, Canada;School of Computer Science, Carleton University, Ottawa, Ontario, Canada
Venue:
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
Year:
2011

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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.