The Assessment and Application of Lineage Information in Genetic Programs for Producing Better Models
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- @InProceedings{Boetticher:2006:IRI,
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author = "G. D. Boetticher and K. Kaminsky",
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title = "The Assessment and Application of Lineage Information
in Genetic Programs for Producing Better Models",
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booktitle = "IEEE International Conference on Information Reuse and
Integration",
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year = "2006",
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pages = "141--146",
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address = "Waikoloa Village, HI, USA",
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month = sep,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "0-7803-9788-6",
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DOI = "doi:10.1109/IRI.2006.252403",
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abstract = "One of the challenges in data mining, and in
particular genetic programs, is to provide sufficient
coverage of the search space in order to produce an
acceptable model. Traditionally, genetic programs
generate equations (chromosomes) and consider all
chromosomes within a population for breeding purposes.
Considering the enormity of the search space for
complex problems, it is imperative to examine genetic
programs breeding efforts in order to produce better
solutions with less training. This research examines
chromosome lineage within genetic programs in order to
identify breeding patterns. Fitness values for
chromosomes are sorted, then partitioned into five
classes. Initial experiments reveal a distinct
difference between upper, middle, and lower classes.
Based upon initial results, a novel genetic programming
process is proposed which breeds a new generation
exclusively from the top 20 percent of a population. A
second set of experiments statistically validate this
proposed approach",
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notes = "Houston Univ., TX",
- }
Genetic Programming entries for
Gary D Boetticher
Kim Kaminsky
Citations