- author = "Lee Spector and Nicholas Freitag McPhee",
- title = "Expressive Genetic Programming: Concepts and Applications",
- booktitle = "GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation",
- year = "2016",
- isbn13 = "978-1-4503-4323-7",
- pages = "589--608",
- keywords = "genetic algorithms, genetic programming",
- month = "20-24 " # jul,
- organisation = "SIGEVO",
- address = "Denver, Colorado, USA",
-
DOI = "
doi:10.1145/2908961.2926988",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
-
abstract = "The language in which evolving programs are expressed
can have significant impacts on the dynamics and
problem-solving capabilities of a genetic programming
system. In GP these impacts are driven by far more than
the absolute computational power of the languages used;
just because a computation is theoretically possible in
a language, it doesn't mean it's readily discoverable
or leveraged by evolution. Highly expressive languages
can facilitate the evolution of programs for any
computable function using, as appropriate, multiple
data types, evolved subroutines, evolved control
structures, evolved data structures, and evolved
modular program and data architectures. In some cases
expressive languages can even support the evolution of
programs that express methods for their own
reproduction and variation (and hence for the evolution
of their offspring).
This tutorial will present a range of approaches that have been taken for evolving programs in expressive programming languages. We will...",
- notes = "tutorial",
