- author = "Nicholas Freitag McPhee and Maggie M. Casale and Mitchell Finzel and Thomas Helmuth and Lee Spector",
- title = "Visualizing Genetic Programming Ancestries",
- 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 = "1419--1426",
- keywords = "genetic algorithms, genetic programming, pushGP, liner genetic programming, Clojush, lexicase selection",
- month = "20-24 " # jul,
- organisation = "SIGEVO",
- address = "Denver, Colorado, USA",
-
DOI = "
doi:10.1145/2908961.2931741",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- size = "8 pages",
- abstract = "Previous work has demonstrated the utility of graph databases as a tool for collecting, analysing, and visualizing ancestry in evolutionary computation runs. That work focused on sections of individual runs, whereas this paper illustrates the application of these ideas on the entirety of large runs (up to three hundred thousand individuals) and combinations of multiple runs. Here we use these tools to generate graphs showing all the ancestors of successful individuals from a variety of stack-based genetic programming runs on software synthesis problems. These graphs highlight important moments in the evolutionary process. They also allow us to compare the dynamics for successful and unsuccessful runs. As well as displaying these full ancestry graphs, we use a variety of standard techniques such as size, colour, pattern, labelling, and opacity to visualize other important information such as fitness, which genetic operators were used, and the distance between parent and child genomes. While this generates an extremely rich visualization, the amount of data can also be somewhat overwhelming, so we also explore techniques for filtering these graphs that allow us to better understand the key dynamics.",
-
notes = "Titan graph database. Tinkerpop query tools. Graphviz
dot. Mutation and crossover. Hyperselection events.
Replace space with newline benchmark. p1420 'uses
restricted Boltzmann machines (RBMs) to compress the
200 error values into 24-bit RGB color values' p1423
'presence of an individual could have had..impact..even
if..never contributed genetic material' p1423
'unfilter' p1426 future dynamic tools.
My pdf reader barfs
Slides https://www.slideshare.net/NicMcPhee/visualizing-genetic-programming-ancestries Cites \cite{series/sci/BurlacuAWKK15}",
