Batch Tournament Selection for Genetic Programming: The quality of lexicase, the speed of Tournament
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @Misc{melo2019batch,
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author = "Vinicius V. Melo and Danilo Vasconcellos Vargas and
Wolfgang Banzhaf",
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title = "Batch Tournament Selection for Genetic Programming:
The quality of lexicase, the speed of Tournament",
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howpublished = "arXiv",
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year = "2019",
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month = "18 " # apr,
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note = "1904.08658",
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keywords = "genetic algorithms, genetic programming, Selection
algorithm, Symbolic Regression",
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eprint = "1904.08658",
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primaryclass = "cs.NE",
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URL = "https://arxiv.org/abs/1904.08658",
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size = "9 pages",
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abstract = "Lexicase selection achieves very good solution quality
by introducing ordered test cases. However, the
computational complexity of lexicase selection can
prohibit its use in many applications. we introduce
Batch Tournament Selection (BTS), a hybrid of
tournament and lexicase selection which is
approximately one order of magnitude faster than
lexicase selection while achieving a competitive
quality of solutions. Tests on a number of regression
datasets show that BTS compares well with lexicase
selection in terms of mean absolute error while having
a speed-up of up to 25 times. Surprisingly, BTS and
lexicase selection have almost no difference in both
diversity and performance. This reveals that batches
and ordered test cases are completely different
mechanisms which share the same general principle
fostering the specialization of individuals. This work
introduces an efficient algorithm that sheds light onto
the main principles behind the success of lexicase,
potentially opening up a new range of possibilities for
algorithms to come.",
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notes = "See \cite{deMelo:2019:GECCO} From: Danilo Vasconcellos
Vargas. Also known as
\cite{DBLP:journals/corr/abs-1904-08658}",
- }
Genetic Programming entries for
Vinicius Veloso de Melo
Danilo Vasconcellos Vargas
Wolfgang Banzhaf
Citations