Constant optimization and feature standardization in multiobjective genetic programming
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gp-bibliography.bib Revision:1.8081
- @Article{Rockett:2021:GPEM,
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author = "Peter Rockett",
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title = "Constant optimization and feature standardization in
multiobjective genetic programming",
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journal = "Genetic Programming and Evolvable Machines",
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year = "2022",
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volume = "23",
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number = "1",
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pages = "37--69",
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month = mar,
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keywords = "genetic algorithms, genetic programming,
Multiobjective genetic programming, MOGP, Constant
optimisation, Feature standardisation, Bayesian
testing",
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ISSN = "1389-2576",
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DOI = "doi:10.1007/s10710-021-09410-y",
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size = "33 pages",
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abstract = "This paper extends the numerical tuning of tree
constants in genetic programming (GP) to the
multiobjective domain. Using ten real-world benchmark
regression datasets and employing Bayesian comparison
procedures, we first consider the effects of feature
standardization (without constant tuning) and conclude
that standardization generally produces lower test
errors, but, contrary to other recently published work,
we find much less clear trend for tree sizes. In
addition, we consider the effects of constant tuning,
with and without feature standardisation, and observe
that (1) constant tuning invariably improves test
error, and (2) usually decreases tree size. Combined
with standardization, constant tuning produces the best
test error results; tree sizes, however, are increased.
We also examine the effects of applying constant tuning
only once at the end a conventional GP run which turns
out to be surprisingly promising. Finally, we consider
the merits of using numerical procedures to tune tree
constants and observe that for around half the datasets
evolutionary search alone is superior whereas for the
remaining half, parameter tuning is superior. We
identify a number of open research questions that arise
from this work.",
-
notes = "Airfoil-self-noise, Auto-mpg, Boston-housing,
Concrete-strength, Dow-chemical,
Energy-efficiency-cool, Energy-efficiency-heat,
Qsar-aquatic-toxicity, Servo,
Yacht-hydrodynamics
University of Sheffield, Mappin Street, Sheffield, S1
3JD, UK",
- }
Genetic Programming entries for
Peter I Rockett
Citations