Better GP benchmarks: community survey results and proposals

Better GP benchmarks: community survey results and proposals

We present the results of a community survey regarding genetic programming benchmark practices. Analysis shows broad consensus that improvement is needed in problem selection and experimental rigor. While views expressed in the survey dissuade us from proposing a large-scale benchmark suite, we find...

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Bibliographic Details
Main Authors: McDermott, James, Castelli, Mauro, Manzoni, Luca, Kronberger, Gabriel, Jaśkowski, Wojciech, Luke, Sean, White, David R., Goldman, Brian W., O'Reilly, Una-May
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Springer US 2016
Online Access:http://hdl.handle.net/1721.1/104909

Internet

http://hdl.handle.net/1721.1/104909

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