Increasing Diversity and Controlling Bloat in Linear Genetic Programming
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- @InProceedings{Cao:2016:ICISCE,
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author = "Bo Cao and Zongli Jiang",
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booktitle = "2016 3rd International Conference on Information
Science and Control Engineering (ICISCE)",
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title = "Increasing Diversity and Controlling Bloat in Linear
Genetic Programming",
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year = "2016",
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pages = "414--419",
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abstract = "The objective of this paper is to use the age-layered
population structure model to increase diversity and
control bloat of the population in linear genetic
programming. Firstly, we use two level tournament
selection to increase the sub-population diversity in
each layer, and then apply the new model to linear
genetic programming to increase the sub-population and
the entire population diversity. The age-layered
population structure model segregates individuals into
different age-layers by their age, so it limits the
quantity of the old age and long length individuals.
Besides, the model regularly introduces new randomly
generated short individuals into the youngest layer to
reduce the average length of the population. The
experimental results show that the age-layered
population structure model can increase diversity and
control bloat of the population effectively.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/ICISCE.2016.97",
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month = jul,
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notes = "Also known as \cite{7726194}",
- }
Genetic Programming entries for
Bo Cao
Zongli Jiang
Citations