- author = "William B. Langdon",
- title = "Long-Term Evolution of Genetic Programming Populations",
- booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
- series = "GECCO '17",
- year = "2017",
- month = "15-19 " # jul,
- pages = "235--236",
- organisation = "SIGEVO",
- address = "Berlin",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- keywords = "genetic algorithms, genetic programming, convergence, Long-Term Evolution Experiment LTEE, Extended unbounded evolution: Poster",
- isbn13 = "978-1-4503-4939-0",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2017_GECCO.pdf",
-
URL = "
http://doi.acm.org/10.1145/3067695.3075965",
-
video_url = "https://youtu.be/gwCwvwJcWbQ",
-
DOI = "
doi:10.1145/3067695.3075965",
- acmid = "3075965",
- size = "2 pages",
-
abstract = "Evolving binary mux-6 trees for up to 100000
generations, during which some programs grow to more
than a hundred million nodes, suggests the landscape
which GP explores contains some very smooth regions.
Although the GP population evolves under crossover, our
unbounded GP appears not to evolve building blocks. We
do see periods of tens even hundreds of generations
where even although each member of the population
occupies a different point in the genotypic search
space, they are lie at exactly the same point in the
phenotypic landscape. Phenotypic convergence whilst
retaining genotypic diversity is typical of GP and, we
suggest inherent in highly redundant variable length
representations.
Based on technical report \href{http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_17_05.pdf} {RN/17/05}
\href{http://arxiv.org/abs/1703.08481}{arXiv:1703.08481}",
-
notes = "Longer version in UCL Technical report RN/17/05
\cite{langdon:RN1705}.
Slides: http://www.cs.ucl.ac.uk/staff/W.Langdon/gggp/langdon_6-mar-2017.pdf Poster: http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2017/ltee_poster.pdf Animations: http://www.cs.ucl.ac.uk/staff/W.Langdon/gggp/#Langdon:2017:GECCO YouTube video: https://youtu.be/gwCwvwJcWbQ
Code http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/GPbmux6.tar.gz
Also known as \cite{Langdon:2017:LEG:3067695.3075965} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",
