Combining cartesian genetic programming with an estimation of distribution algorithm
Janet Clegg · 2008
This paper describes initial testing of a novel idea to combine a CGP with an EDA. In recent work a new improved crossover technique was successfully applied to a CGP. To implement the new method meant changing the traditional CGP representation. The new representation developed in that work lends itself very nicely to some probability distribution being implemented. The work in this paper has investigated this idea of incoporating estimated probability distributions into the new CGP method with crossover.