Diversity Control in GP with ADF for Regression Tasks
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Xie:2005:AJCAI,
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title = "Diversity Control in {GP} with {ADF} for Regression
Tasks",
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author = "Huayang Xie",
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year = "2005",
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pages = "1253--1257",
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booktitle = "AI 2005: Advances in Artificial Intelligence, 18th
Australian Joint Conference on Artificial Intelligence,
Proceedings",
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editor = "Shichao Zhang and Ray Jarvis",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "3809",
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address = "Sydney, Australia",
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month = dec # " 5-9",
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keywords = "genetic algorithms, genetic programming, diversity
control",
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ISBN = "3-540-30462-2",
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DOI = "doi:10.1007/11589990_181",
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size = "5 pages",
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abstract = "two-phase diversity control approach to prevent the
common problem of the loss of diversity in Genetic
Programming with Automatically Defined Functions. While
most recent work focuses on diagnosing and remedying
the loss of diversity, this approach aims to prevent
the loss of diversity in the early stage through a
refined diversity control method and a fully covered
tournament selection method. The results on regression
tasks suggest that these methods can effectively
improve the system performance by reducing the
incidences of premature convergence and the number of
generations needed an optimal solution.",
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notes = "PART IV: Short Papers",
- }
Genetic Programming entries for
Huayang Jason Xie
Citations