By the same authors

Changing the genospace: Solving GA problems with Cartesian Genetic Programming

Research output: Chapter in Book/Report/Conference proceedingConference contribution



Publication details

Title of host publicationGenetic Programming, Proceedings
DatePublished - 2007
Number of pages10
Place of PublicationBERLIN
EditorsM ONeill, A Ekart, L Vanneschi, AI EsparciaAlcazar
Original languageEnglish
ISBN (Print)978-3-540-71602-0


Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) capable of acquiring, evolving and re-using partial solutions. In this paper, we apply for the first time CGP and ECGP to the ones-max and order-3 deceptive problems, which are normally associated with Genetic Algorithms. Our approach uses CGP and ECGP to evolve a sequence of commands for a tape-head, which produces an arbitrary length binary string on a piece of tape. Computational effort figures are calculated for CGP and ECGP and our results compare favourably with those of Genetic Algorithms.

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