A Preliminary Exploration of Floating Point Grammatical Evolution
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- @Misc{Alexander:2018:arxiv,
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author = "Brad Alexander",
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title = "A Preliminary Exploration of Floating Point
Grammatical Evolution",
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howpublished = "arXiv",
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year = "2018",
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month = "9 " # jun,
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keywords = "genetic algorithms, genetic programming, grammatical
evolution",
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volume = "abs/1806.03455",
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bibdate = "2018-08-13",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/corr/corr1806.html#abs-1806-03455",
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URL = "http://arxiv.org/abs/1806.03455",
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size = "17 pages",
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abstract = "Current GP frameworks are highly effective on a range
of real and simulated benchmarks. However, due to the
high dimensionality of the genotypes for GP, the task
of visualising the fitness landscape for GP search can
be difficult. This paper describes a new framework:
Floating Point Grammatical Evolution (FP-GE) which uses
a single floating point genotype to encode an
individual program. This encoding permits easier
visualisation of the fitness landscape arbitrary
problems by providing a way to map fitness against a
single dimension. The new framework also makes it
trivially easy to apply continuous search algorithms,
such as Differential Evolution, to the search problem.
In this work, the FP-GE framework is tested against
several regression problems, visualising the search
landscape for these and comparing different search
meta-heuristics.",
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notes = "Also known as \cite{journals/corr/abs-1806-03455}",
- }
Genetic Programming entries for
Brad Alexander
Citations