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...
Main Authors: | McDermott, James, Castelli, Mauro, Manzoni, Luca, Kronberger, Gabriel, Jaśkowski, Wojciech, Luke, Sean, White, David R., Goldman, Brian W., O'Reilly, Una-May |
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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 |
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