Coevolution and Tartarus
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Ashlock:2004:CaT,
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title = "Coevolution and Tartarus",
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author = "Daniel Ashlock and Stephen Willson and Nicole Leahy",
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pages = "1618--1624",
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booktitle = "Proceedings of the 2004 IEEE Congress on Evolutionary
Computation",
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year = "2004",
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publisher = "IEEE Press",
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month = "20-23 " # jun,
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address = "Portland, Oregon",
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ISBN = "0-7803-8515-2",
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keywords = "genetic algorithms, genetic programming, Coevolution
\& collective behavior, Evolutionary intelligent
agents",
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URL = "http://orion.math.iastate.edu/danwell/eprints/TartarusCE.pdf",
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URL = "http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=01331089",
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DOI = "doi:10.1109/CEC.2004.1331089",
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abstract = "This study applies coevolution to the Tartarus task.
If the coevolving test cases are viewed as a form of
parasite the question of virulence becomes an important
feature of the algorithm. This study compares two types
of parasites. The impact of coevolution in this study
is at odds with intuition and statistically
significant. Analysis suggests that disruptive
crossover has a key effect. In the presence of
disruptive crossover, coevolution may need to be
modified to be effective. The key method of dealing
with disruptive crossover is tracking the age of the
Tartarus agents. Using only older agents to drive
coevolution of test cases substantially enhances the
performance of one of the two type of coevolution
studied.",
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notes = "GP-automata. Disruptive effect of crossover and
mutation important in co-evolution studies. CEC 2004 -
A joint meeting of the IEEE, the EPS, and the IEE.",
- }
Genetic Programming entries for
Daniel Ashlock
Stephen J Willson
Nicole P Leahy
Citations