Relationships between parent selection methods, looping constructs, and success rate in genetic programming
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- @Article{Saini:GPEM,
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author = "Anil Kumar Saini and Lee Spector",
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title = "Relationships between parent selection methods,
looping constructs, and success rate in genetic
programming",
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journal = "Genetic Programming and Evolvable Machines",
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year = "2021",
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volume = "22",
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number = "4",
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pages = "495--509",
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month = dec,
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note = "Special Issue: Highlights of Genetic Programming 2020
Events",
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keywords = "genetic algorithms, genetic programming, Parent
selection methods, Lexicase selection, Specialists,
Loops",
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ISSN = "1389-2576",
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URL = "https://rdcu.be/cyKGq",
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DOI = "doi:10.1007/s10710-021-09417-5",
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size = "15 pages",
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abstract = "In genetic programming, parent selection methods are
employed to select promising candidate individuals from
the current generation that can be used as parents for
the next generation. These algorithms can affect,
sometimes indirectly, whether or not individuals
containing certain programming constructs, such as
loops, are selected and propagated in the population.
This in turn can affect the chances that the population
will produce a solution to the problem. we present the
results of the experiments using three different parent
selection methods on four benchmark program synthesis
problems. We analyze the relationships between the
selection methods, the numbers of individuals in the
population that make use of loops, and success rates.
The results show that the support for the selection of
specialists is associated both with the use of loops in
evolving populations and with higher success rates.",
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notes = "University of Massachusetts Amherst, Amherst, USA",
- }
Genetic Programming entries for
Anil Kumar Saini
Lee Spector
Citations