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Genetic programming (GP) has proven to be successful at generating programs which solve a wide variety of problems. Object-oriented GP (OOGP) extends traditional GP by allowing the simultaneous evolution of multiple program trees, and thus multiple functions. OOGP has been shown to be capable of evolving more complex structures than traditional GP. However, OOGP does not facilitate the incorporation of expert knowledge within the resulting evolved type. This paper proposes an alternative OOGPdoi:10.1145/2598394.2598494 dblp:conf/gecco/MedlandHO14 fatcat:i3ocjh56uvagzacdogudusrbty