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Evolving distributed algorithms with genetic programming: election
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Authors:
Thomas Weise
University of Kassel, Kassel, Germany
Michael Zapf
University of Kassel, Kassel, Germany
Published in:
· Proceeding
GEC '09
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-326-6
doi>
10.1145/1543834.1543913
2009 Article
Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 12
· Citation Count: 0
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Tags:
algorithms
applications
design
distributed systems
election
epistasis
erbgp
extended rule-based genetic programming
fraglets
genetic programming
indirect memory access
lcs
learning classifier systems
lgp
linear genetic programming
positional epistasis
program synthesis
rbgp
rule-based genetic programming
sgp
standard genetic programming
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