- author = "Alexandros Agapitos and Simon M. Lucas",
- title = "Learning Recursive Functions with Object Oriented Genetic Programming",
- editor = "Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art",
- booktitle = "Proceedings of the 9th European Conference on Genetic Programming",
- publisher = "Springer",
- series = "Lecture Notes in Computer Science",
- volume = "3905",
- year = "2006",
- address = "Budapest, Hungary",
- month = "10 - 12 " # apr,
- organisation = "EvoNet",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "3-540-33143-3",
- pages = "166--177",
-
DOI = "
doi:10.1007/11729976_15",
- bibsource = "DBLP, http://dblp.uni-trier.de",
- abstract = "This paper describes the evolution of recursive functions within an Object-Oriented Genetic Programming (OOGP) system. We evolved general solutions to factorial, Fibonacci, exponentiation, even-n-Parity, and nth-3. We report the computational effort required to evolve these methods and provide a comparison between crossover and mutation variation operators, and also undirected random search. We found that the evolutionary algorithms performed much better than undirected random search, and that mutation outperformed crossover on most problems.",
-
notes = "Part of \cite{collet:2006:GP} EuroGP'2006 held in
conjunction with EvoCOP2006 and EvoWorkshops2006
Java reflection.",
