- author = "Simon Harding and Wolfgang Banzhaf",
- title = "Implementing cartesian genetic programming classifiers on graphics processing units using GPU.NET",
- booktitle = "GECCO 2011 Computational intelligence on consumer games and graphics hardware (CIGPU)",
- year = "2011",
- editor = "Simon Harding and W. B. Langdon and Man Leung Wong and Garnett Wilson and Tony Lewis",
- isbn13 = "978-1-4503-0690-4",
- keywords = "genetic algorithms, genetic programming, cartesian genetic programming, GPU",
- pages = "463--470",
- month = "12-16 " # jul,
- organisation = "SIGEVO",
- address = "Dublin, Ireland",
-
DOI = "
doi:10.1145/2001858.2002034",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- abstract = "This paper investigates the use of a new Graphics Processing Unit (GPU) programming tool called 'GPU.NET' for implementing a Genetic Programming fitness evaluator. We find that the tool is able to help write software that accelerates fitness evaluation. For the first time, Cartesian Genetic Programming (CGP) was used with a GPU-based interpreter. With its code reuse and compact representation, implementing CGP efficiently on the GPU required several innovations. Further, we tested the system on a very large data set, and showed that CGP is also suitable for use as a classifier.",
-
notes = "Also known as \cite{2002034} Distributed on CD-ROM at
GECCO-2011.
ACM Order Number 910112.",
