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Distribution replacement: how survival of the worst can out perform survival of the fittest
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Authors:
Howard Tripp
University of Surrey
Phil Palmer
University of Surrey
Published in:
· Proceeding
GECCO '07
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Pages 1444-1451
ACM
New York, NY
, USA
©2007
table of contents
ISBN: 978-1-59593-697-4
doi>
10.1145/1276958.1277223
2007 Article
Bibliometrics
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· Citation Count: 0
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Upcoming Conference:
GECCO '13
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Tags:
algorithms
automatic analysis of algorithms
beta distribution
cdf
dejong functions
distribution replacement
genetic algorithms
keep second best
normal distribution
random keep best
replacement
saw tooth
steady state genetic algorithm
survival of the extremes
survival of the worst
theory
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