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Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems
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Authors:
Kumara Sastry
University of Illinois at Urbana-Champaign, Urbana, IL
David E. Goldberg
University of Illinois at Urbana-Champaign, Urbana, IL
Published in:
· Proceeding
GECCO '07
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Pages 1380-1387
ACM
New York, NY
, USA
©2007
table of contents
ISBN: 978-1-59593-697-4
doi>
10.1145/1276958.1277215
2007 Article
Bibliometrics
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· Citation Count: 2
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GECCO '13
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Tags:
algorithms
building blocks
convergence time
crossover
design
domino convergence
drift time
efficiency enhancement
experimentation
exponential scaling
genetic algorithms
heuristic methods
mutation
noisy fitness functions
optimization
performance
population sizing
salience
scalability analysis
scaling
speedup
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