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Classification and regression-based surrogate model-assisted interactive genetic algorithm with individual's fuzzy fitness
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Authors:
Xiao Yan Sun
China University of Mining and Technology, Xuzhou, China
Dunwei Gong
China University of Mining and Technology, Xuzhou, China
Subei Li
China University of Mining and Technology, Xuzhou, China
Published in:
· Proceeding
GECCO '09
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Pages 907-914
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-325-9
doi>
10.1145/1569901.1570025
2009 Article
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· Citation Count: 2
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GECCO '13
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Tags:
algorithms
design
fuzzy fitness
human factors
human information processing
interactive genetic algorithm
nonlinear approximation
optimization
special function approximations
support vector machine
surrogate model
theory
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