- author = "Julian Francis Miller",
- title = "Cartesian Genetic Programming",
- booktitle = "Complex Systems Digital Campus E-conference, CS-DC'15",
- year = "2015",
- editor = "Paul Bourgine and Pierre Collet",
- pages = "Paper ID: 356",
- month = sep # " 30-" # oct # " 1",
- note = "Invited talk",
- keywords = "genetic algorithms, genetic programming, Cartesian Genetic Programming",
-
URL = "
http://cs-dc-15.org/",
-
URL = "http://cs-dc-15.org/papers/multi-scale-dynamics/evol-comp-methods-2/cartesian-genetic-programming/",
-
abstract = "Cartesian Genetic Programming (CGP) is a form of
automatic program induction that uses an evolutionary
algorithm to evolve graph-based representations of
computational structures. It is a highly flexible and
general technique that can find solutions in many
problem domains (e.g. neural networks, mathematical
equation induction, object recognition in images,
digital and analogue circuit design, algorithm
design...).
Since its invention in 1999, it has been developed and made more efficient in various ways. It can automatically capture and evolve sub-functions (known as modules) and through the introduction of self-modification operators it is possible to find mathematically provable general solutions to classes of problems. This talk is given by the inventor of the technique.",
-
notes = "1 October 2015 7:40 to 8:10 (UTC) Evolutionary
Computing Methods session
Does not appear in proceedings published by Springer 2017",
