Selection Heuristics on Semantic Genetic Programming for Classification Problems
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- @Article{Sanchez:2022:EC,
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author = "Claudia N. Sanchez and Mario Graff",
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title = "Selection Heuristics on Semantic Genetic Programming
for Classification Problems",
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journal = "Evolutionary Computation",
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year = "2022",
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volume = "30",
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number = "2",
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pages = "253--289",
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month = "Summer",
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keywords = "genetic algorithms, genetic programming, semantics,
functions properties, classification, parent
selection",
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ISSN = "1063-6560",
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DOI = "doi:10.1162/evco_a_00297",
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size = "37 pages",
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abstract = "Individual semantics have been used for guiding the
learning process of Genetic Programming. Novel genetic
operators and different ways of performing parent
selection have been proposed with the use of semantics.
The latter is the focus of this contribution by
proposing three heuristics for parent selection that
measure the similarity among individuals semantics for
choosing parents that enhance the addition, Naive
Bayes, and Nearest Centroid. this is the first time
that functions properties are used for guiding the
learning process. As the heuristics were created based
on the properties of these functions, we apply them
only when they are used to create offspring. The
similarity functions considered are the cosine
similarity, Pearson correlation, and agreement. We
analyze these heuristics performance against random
selection, state-of-the-art selection schemes, and 18
classifiers, including auto-machine-learning
techniques, on 30 classification problems with a
variable number of samples, variables, and classes. The
result indicated that the combination of parent
selection based on agreement and random selection to
replace an individual in the population produces
statistically better results than the classical
selection and state-of-the-art schemes, and it is
competitive with state-of-the-art classifiers. Finally,
the code is released as open-source software.",
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notes = "Universidad Panamericana",
- }
Genetic Programming entries for
Claudia Nallely Sanchez Gomez
Mario Graff Guerrero
Citations