- author = "Jason Zutty and Daniel Long and Gregory Rohling",
- title = "Increasing the Throughput of Expensive Evaluations Through a Vector Based Genetic Programming Framework",
- booktitle = "GECCO 2016 Late-Breaking Abstracts",
- year = "2016",
- editor = "Francisco Chicano and Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing",
- pages = "1477--1478",
- keywords = "genetic algorithms, genetic programming",
- month = "20-24 " # jul,
- organisation = "SIGEVO",
- address = "Denver, USA",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- isbn13 = "978-1-4503-4323-7",
-
DOI = "
doi:10.1145/2908961.2931641",
-
abstract = "traditional genetic programming only supports the use
of arithmetic and logical operators on scalar features.
The GTMOEP (Georgia Tech Multiple Objective
Evolutionary Programming) framework builds upon this by
also handling feature vectors, allowing the use of
signal processing and machine learning functions as
primitives, in addition to the more conventional
operators [6]. GTMOEP is a novel method for automated,
data-driven algorithm creation, capable of
outperforming human derived solutions.
A challenge in this field is working with both large datasets and expensive primitive functions. This paper outlines some of the innovations Zutty et al. have introduced into the GTMOEP framework in order to more efficiently evaluate individuals and tackle new problems. These innovations include: Working with non-feature data, tiered datasets, subtree caches, and initial population creation.",
- notes = "Distributed at GECCO-2016.",
